first commit

2 years ago · ce2420b640
commit ce2420b640
48 changed files with 1690 additions and 0 deletions
--- a/.idea/.gitignore
+++ b/.idea/.gitignore
@ -0,0 +1,8 @@
+# Default ignored files
+/shelf/
+/workspace.xml
+# Editor-based HTTP Client requests
+/httpRequests/
+# Datasource local storage ignored files
+/dataSources/
+/dataSources.local.xml
--- a/.idea/.name
+++ b/.idea/.name
@ -0,0 +1 @@
+driver.py
--- a/.idea/inspectionProfiles/Project_Default.xml
+++ b/.idea/inspectionProfiles/Project_Default.xml
@ -0,0 +1,35 @@
+<component name="InspectionProjectProfileManager">
+  <profile version="1.0">
+    <option name="myName" value="Project Default" />
+    <inspection_tool class="DuplicatedCode" enabled="true" level="WEAK WARNING" enabled_by_default="true">
+      <Languages>
+        <language minSize="1586" name="Python" />
+      </Languages>
+    </inspection_tool>
+    <inspection_tool class="PyPep8NamingInspection" enabled="true" level="WEAK WARNING" enabled_by_default="true">
+      <option name="ignoredErrors">
+        <list>
+          <option value="N801" />
+          <option value="N802" />
+        </list>
+      </option>
+    </inspection_tool>
+    <inspection_tool class="PyStubPackagesAdvertiser" enabled="true" level="WARNING" enabled_by_default="true">
+      <option name="ignoredPackages">
+        <list>
+          <option value="PyQt5-stubs==5.15.6.0" />
+        </list>
+      </option>
+    </inspection_tool>
+    <inspection_tool class="PyUnresolvedReferencesInspection" enabled="true" level="WARNING" enabled_by_default="true">
+      <option name="ignoredIdentifiers">
+        <list>
+          <option value="cv2.imread" />
+          <option value="cv2.*" />
+          <option value="PyQt5.QtWidgets.clicked.connect" />
+          <option value="PyQt5.QtCore.Qt.SolidPattern" />
+        </list>
+      </option>
+    </inspection_tool>
+  </profile>
+</component>
--- a/.idea/inspectionProfiles/profiles_settings.xml
+++ b/.idea/inspectionProfiles/profiles_settings.xml
@ -0,0 +1,6 @@
+<component name="InspectionProjectProfileManager">
+  <settings>
+    <option name="USE_PROJECT_PROFILE" value="false" />
+    <version value="1.0" />
+  </settings>
+</component>
--- a/.idea/misc.xml
+++ b/.idea/misc.xml
@ -0,0 +1,4 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<project version="4">
+  <component name="ProjectRootManager" version="2" project-jdk-name="Python 3.6 (Test)" project-jdk-type="Python SDK" />
+</project>
--- a/.idea/modules.xml
+++ b/.idea/modules.xml
@ -0,0 +1,8 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<project version="4">
+  <component name="ProjectModuleManager">
+    <modules>
+      <module fileurl="file://$PROJECT_DIR$/.idea/数字图像处理.iml" filepath="$PROJECT_DIR$/.idea/数字图像处理.iml" />
+    </modules>
+  </component>
+</project>
--- a/.idea/数字图像处理.iml
+++ b/.idea/数字图像处理.iml
@ -0,0 +1,10 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<module type="PYTHON_MODULE" version="4">
+  <component name="NewModuleRootManager">
+    <content url="file://$MODULE_DIR$">
+      <excludeFolder url="file://$MODULE_DIR$/venv" />
+    </content>
+    <orderEntry type="jdk" jdkName="Python 3.6 (Test)" jdkType="Python SDK" />
+    <orderEntry type="sourceFolder" forTests="false" />
+  </component>
+</module>
--- a/DIP.py
+++ b/DIP.py
@ -0,0 +1,300 @@
+# -*- coding: utf-8 -*-
+
+# Form implementation generated from reading ui file 'DIP.ui'
+#
+# Created by: PyQt5 UI code generator 5.15.6
+#
+# WARNING: Any manual changes made to this file will be lost when pyuic5 is
+# run again.  Do not edit this file unless you know what you are doing.
+
+
+from PyQt5 import QtCore, QtGui, QtWidgets
+
+
+class Ui_DigitalImageProcessing(object):
+    def setupUi(self, DigitalImageProcessing):
+        DigitalImageProcessing.setObjectName("DigitalImageProcessing")
+        DigitalImageProcessing.resize(975, 614)
+        self.centralwidget = QtWidgets.QWidget(DigitalImageProcessing)
+        self.centralwidget.setObjectName("centralwidget")
+        self.groupBox = QtWidgets.QGroupBox(self.centralwidget)
+        self.groupBox.setGeometry(QtCore.QRect(30, 40, 421, 321))
+        font = QtGui.QFont()
+        font.setFamily("Agency FB")
+        font.setPointSize(14)
+        self.groupBox.setFont(font)
+        self.groupBox.setObjectName("groupBox")
+        self.original_img = QtWidgets.QLabel(self.groupBox)
+        self.original_img.setGeometry(QtCore.QRect(40, 30, 351, 261))
+        self.original_img.setStyleSheet("background : rgb(0, 170, 255)")
+        self.original_img.setText("")
+        self.original_img.setObjectName("original_img")
+        self.groupBox_2 = QtWidgets.QGroupBox(self.centralwidget)
+        self.groupBox_2.setGeometry(QtCore.QRect(520, 40, 411, 321))
+        font = QtGui.QFont()
+        font.setFamily("Agency FB")
+        font.setPointSize(14)
+        self.groupBox_2.setFont(font)
+        self.groupBox_2.setObjectName("groupBox_2")
+        self.fixed_img = QtWidgets.QLabel(self.groupBox_2)
+        self.fixed_img.setGeometry(QtCore.QRect(30, 30, 361, 261))
+        self.fixed_img.setStyleSheet("background : rgb(0, 170, 255)")
+        self.fixed_img.setText("")
+        self.fixed_img.setObjectName("fixed_img")
+        self.pushButton = QtWidgets.QPushButton(self.centralwidget)
+        self.pushButton.setGeometry(QtCore.QRect(390, 410, 191, 91))
+        self.pushButton.setObjectName("pushButton")
+        DigitalImageProcessing.setCentralWidget(self.centralwidget)
+        self.menubar = QtWidgets.QMenuBar(DigitalImageProcessing)
+        self.menubar.setGeometry(QtCore.QRect(0, 0, 975, 21))
+        self.menubar.setObjectName("menubar")
+        self.menu = QtWidgets.QMenu(self.menubar)
+        self.menu.setObjectName("menu")
+        self.menu_2 = QtWidgets.QMenu(self.menubar)
+        self.menu_2.setObjectName("menu_2")
+        self.menu_3 = QtWidgets.QMenu(self.menubar)
+        self.menu_3.setObjectName("menu_3")
+        self.menu_Hough = QtWidgets.QMenu(self.menubar)
+        self.menu_Hough.setObjectName("menu_Hough")
+        self.menu_4 = QtWidgets.QMenu(self.menubar)
+        self.menu_4.setObjectName("menu_4")
+        self.menu_5 = QtWidgets.QMenu(self.menubar)
+        self.menu_5.setObjectName("menu_5")
+        self.menu_6 = QtWidgets.QMenu(self.menubar)
+        self.menu_6.setObjectName("menu_6")
+        self.menu_7 = QtWidgets.QMenu(self.menubar)
+        self.menu_7.setObjectName("menu_7")
+        self.menu_8 = QtWidgets.QMenu(self.menubar)
+        self.menu_8.setObjectName("menu_8")
+        DigitalImageProcessing.setMenuBar(self.menubar)
+        self.statusbar = QtWidgets.QStatusBar(DigitalImageProcessing)
+        self.statusbar.setObjectName("statusbar")
+        DigitalImageProcessing.setStatusBar(self.statusbar)
+        self.actionyu = QtWidgets.QAction(DigitalImageProcessing)
+        self.actionyu.setObjectName("actionyu")
+        self.actionhuo = QtWidgets.QAction(DigitalImageProcessing)
+        self.actionhuo.setObjectName("actionhuo")
+        self.actionfei = QtWidgets.QAction(DigitalImageProcessing)
+        self.actionfei.setObjectName("actionfei")
+        self.actionjiafa = QtWidgets.QAction(DigitalImageProcessing)
+        self.actionjiafa.setObjectName("actionjiafa")
+        self.actionjianfa = QtWidgets.QAction(DigitalImageProcessing)
+        self.actionjianfa.setObjectName("actionjianfa")
+        self.actionchengfa = QtWidgets.QAction(DigitalImageProcessing)
+        self.actionchengfa.setObjectName("actionchengfa")
+        self.actionchufa = QtWidgets.QAction(DigitalImageProcessing)
+        self.actionchufa.setObjectName("actionchufa")
+        self.actionkuozhansuofang = QtWidgets.QAction(DigitalImageProcessing)
+        self.actionkuozhansuofang.setObjectName("actionkuozhansuofang")
+        self.actiontuxiangpingyi = QtWidgets.QAction(DigitalImageProcessing)
+        self.actiontuxiangpingyi.setObjectName("actiontuxiangpingyi")
+        self.actiontuxiangxuanzhuan = QtWidgets.QAction(DigitalImageProcessing)
+        self.actiontuxiangxuanzhuan.setObjectName("actiontuxiangxuanzhuan")
+        self.actiontuxiangfanzhuan = QtWidgets.QAction(DigitalImageProcessing)
+        self.actiontuxiangfanzhuan.setObjectName("actiontuxiangfanzhuan")
+        self.actionchuizhifanzhuan = QtWidgets.QAction(DigitalImageProcessing)
+        self.actionchuizhifanzhuan.setObjectName("actionchuizhifanzhuan")
+        self.actionhuiduzhifangtu = QtWidgets.QAction(DigitalImageProcessing)
+        self.actionhuiduzhifangtu.setObjectName("actionhuiduzhifangtu")
+        self.actioncaisezhifangtu = QtWidgets.QAction(DigitalImageProcessing)
+        self.actioncaisezhifangtu.setObjectName("actioncaisezhifangtu")
+        self.actionhuizhizhifangtu = QtWidgets.QAction(DigitalImageProcessing)
+        self.actionhuizhizhifangtu.setObjectName("actionhuizhizhifangtu")
+        self.actionfenduanxianxingbianhuanduizhifangtuxiugai = QtWidgets.QAction(DigitalImageProcessing)
+        self.actionfenduanxianxingbianhuanduizhifangtuxiugai.setObjectName("actionfenduanxianxingbianhuanduizhifangtuxiugai")
+        self.actionbianyuanjiancedejibenyuanli = QtWidgets.QAction(DigitalImageProcessing)
+        self.actionbianyuanjiancedejibenyuanli.setObjectName("actionbianyuanjiancedejibenyuanli")
+        self.actionRoberts = QtWidgets.QAction(DigitalImageProcessing)
+        self.actionRoberts.setObjectName("actionRoberts")
+        self.actionPrewitt_Sobel = QtWidgets.QAction(DigitalImageProcessing)
+        self.actionPrewitt_Sobel.setObjectName("actionPrewitt_Sobel")
+        self.actionLaplacian = QtWidgets.QAction(DigitalImageProcessing)
+        self.actionLaplacian.setObjectName("actionLaplacian")
+        self.actionLoG = QtWidgets.QAction(DigitalImageProcessing)
+        self.actionLoG.setObjectName("actionLoG")
+        self.actionCanny = QtWidgets.QAction(DigitalImageProcessing)
+        self.actionCanny.setObjectName("actionCanny")
+        self.actionxingtaixue = QtWidgets.QAction(DigitalImageProcessing)
+        self.actionxingtaixue.setObjectName("actionxingtaixue")
+        self.actionjiegouyuan = QtWidgets.QAction(DigitalImageProcessing)
+        self.actionjiegouyuan.setText("")
+        self.actionjiegouyuan.setObjectName("actionjiegouyuan")
+        self.actionjiegouyuandefenlei = QtWidgets.QAction(DigitalImageProcessing)
+        self.actionjiegouyuandefenlei.setObjectName("actionjiegouyuandefenlei")
+        self.actionfushi = QtWidgets.QAction(DigitalImageProcessing)
+        self.actionfushi.setObjectName("actionfushi")
+        self.actionpengzhang = QtWidgets.QAction(DigitalImageProcessing)
+        self.actionpengzhang.setObjectName("actionpengzhang")
+        self.actionkaiyunsuan = QtWidgets.QAction(DigitalImageProcessing)
+        self.actionkaiyunsuan.setObjectName("actionkaiyunsuan")
+        self.actionbiyunsuan = QtWidgets.QAction(DigitalImageProcessing)
+        self.actionbiyunsuan.setObjectName("actionbiyunsuan")
+        self.actionzao_sheng_miaoshuqi = QtWidgets.QAction(DigitalImageProcessing)
+        self.actionzao_sheng_miaoshuqi.setObjectName("actionzao_sheng_miaoshuqi")
+        self.actionjunzhileilvboqi = QtWidgets.QAction(DigitalImageProcessing)
+        self.actionjunzhileilvboqi.setObjectName("actionjunzhileilvboqi")
+        self.actionpaixutongjileilvboqi = QtWidgets.QAction(DigitalImageProcessing)
+        self.actionpaixutongjileilvboqi.setObjectName("actionpaixutongjileilvboqi")
+        self.actionxuanzexinglvboqi = QtWidgets.QAction(DigitalImageProcessing)
+        self.actionxuanzexinglvboqi.setObjectName("actionxuanzexinglvboqi")
+        self.actionfangshebianhuan = QtWidgets.QAction(DigitalImageProcessing)
+        self.actionfangshebianhuan.setObjectName("actionfangshebianhuan")
+        self.actionHough = QtWidgets.QAction(DigitalImageProcessing)
+        self.actionHough.setObjectName("actionHough")
+        self.actionHoughP = QtWidgets.QAction(DigitalImageProcessing)
+        self.actionHoughP.setObjectName("actionHoughP")
+        self.actionlingyupingjunfa = QtWidgets.QAction(DigitalImageProcessing)
+        self.actionlingyupingjunfa.setObjectName("actionlingyupingjunfa")
+        self.actionzhongzhilvbo = QtWidgets.QAction(DigitalImageProcessing)
+        self.actionzhongzhilvbo.setObjectName("actionzhongzhilvbo")
+        self.actionlixiang = QtWidgets.QAction(DigitalImageProcessing)
+        self.actionlixiang.setObjectName("actionlixiang")
+        self.actionButterworth = QtWidgets.QAction(DigitalImageProcessing)
+        self.actionButterworth.setObjectName("actionButterworth")
+        self.actionGauss = QtWidgets.QAction(DigitalImageProcessing)
+        self.actionGauss.setObjectName("actionGauss")
+        self.menu.addAction(self.actionyu)
+        self.menu.addAction(self.actionhuo)
+        self.menu.addAction(self.actionfei)
+        self.menu.addAction(self.actionjiafa)
+        self.menu.addAction(self.actionjianfa)
+        self.menu.addAction(self.actionchengfa)
+        self.menu.addAction(self.actionchufa)
+        self.menu_2.addAction(self.actionkuozhansuofang)
+        self.menu_2.addAction(self.actiontuxiangpingyi)
+        self.menu_2.addAction(self.actiontuxiangxuanzhuan)
+        self.menu_2.addAction(self.actiontuxiangfanzhuan)
+        self.menu_2.addAction(self.actionchuizhifanzhuan)
+        self.menu_2.addAction(self.actionfangshebianhuan)
+        self.menu_3.addAction(self.actionhuiduzhifangtu)
+        self.menu_3.addAction(self.actioncaisezhifangtu)
+        self.menu_3.addAction(self.actionhuizhizhifangtu)
+        self.menu_3.addAction(self.actionfenduanxianxingbianhuanduizhifangtuxiugai)
+        self.menu_Hough.addAction(self.actionHough)
+        self.menu_Hough.addAction(self.actionHoughP)
+        self.menu_4.addAction(self.actionbianyuanjiancedejibenyuanli)
+        self.menu_4.addAction(self.actionRoberts)
+        self.menu_4.addAction(self.actionPrewitt_Sobel)
+        self.menu_4.addAction(self.actionLaplacian)
+        self.menu_4.addAction(self.actionLoG)
+        self.menu_4.addAction(self.actionCanny)
+        self.menu_5.addAction(self.actionfushi)
+        self.menu_5.addAction(self.actionpengzhang)
+        self.menu_5.addAction(self.actionkaiyunsuan)
+        self.menu_5.addAction(self.actionbiyunsuan)
+        self.menu_6.addAction(self.actionzao_sheng_miaoshuqi)
+        self.menu_6.addAction(self.actionjunzhileilvboqi)
+        self.menu_6.addAction(self.actionpaixutongjileilvboqi)
+        self.menu_6.addAction(self.actionxuanzexinglvboqi)
+        self.menu_7.addAction(self.actionlingyupingjunfa)
+        self.menu_7.addAction(self.actionzhongzhilvbo)
+        self.menu_8.addAction(self.actionlixiang)
+        self.menu_8.addAction(self.actionButterworth)
+        self.menu_8.addAction(self.actionGauss)
+        self.menubar.addAction(self.menu.menuAction())
+        self.menubar.addAction(self.menu_2.menuAction())
+        self.menubar.addAction(self.menu_3.menuAction())
+        self.menubar.addAction(self.menu_Hough.menuAction())
+        self.menubar.addAction(self.menu_4.menuAction())
+        self.menubar.addAction(self.menu_5.menuAction())
+        self.menubar.addAction(self.menu_6.menuAction())
+        self.menubar.addAction(self.menu_7.menuAction())
+        self.menubar.addAction(self.menu_8.menuAction())
+
+        self.retranslateUi(DigitalImageProcessing)
+        self.pushButton.clicked.connect(DigitalImageProcessing.openImg)
+        self.actionyu.triggered.connect(DigitalImageProcessing.alAnd)
+        self.actionhuo.triggered.connect(DigitalImageProcessing.alOr)
+        self.actionfei.triggered.connect(DigitalImageProcessing.alNegation)
+        self.actionjiafa.triggered.connect(DigitalImageProcessing.alAdd)
+        self.actionjianfa.triggered.connect(DigitalImageProcessing.alSubtract)
+        self.actionchengfa.triggered.connect(DigitalImageProcessing.alMulty)
+        self.actionchufa.triggered.connect(DigitalImageProcessing.alDivide)
+        self.actiontuxiangfanzhuan.triggered.connect(DigitalImageProcessing.horizonal)
+        self.actionchuizhifanzhuan.triggered.connect(DigitalImageProcessing.vertical)
+        self.actiontuxiangpingyi.triggered.connect(DigitalImageProcessing.moveImg)
+        self.actiontuxiangxuanzhuan.triggered.connect(DigitalImageProcessing.rotation)
+        self.actionkuozhansuofang.triggered.connect(DigitalImageProcessing.extend)
+        self.actionfangshebianhuan.triggered.connect(DigitalImageProcessing.affine)
+        self.actionhuiduzhifangtu.triggered.connect(DigitalImageProcessing.histGrey)
+        self.actioncaisezhifangtu.triggered.connect(DigitalImageProcessing.histRGB)
+        self.actionhuizhizhifangtu.triggered.connect(DigitalImageProcessing.histD)
+        self.actionfenduanxianxingbianhuanduizhifangtuxiugai.triggered.connect(DigitalImageProcessing.editHist)
+        self.actionHough.triggered.connect(DigitalImageProcessing.houghLines)
+        self.actionHoughP.triggered.connect(DigitalImageProcessing.houghLinesP)
+        self.actionbianyuanjiancedejibenyuanli.triggered.connect(DigitalImageProcessing.basic_of_edge_detection)
+        self.actionRoberts.triggered.connect(DigitalImageProcessing.roberts)
+        self.actionPrewitt_Sobel.triggered.connect(DigitalImageProcessing.sobel)
+        self.actionLaplacian.triggered.connect(DigitalImageProcessing.laplacian)
+        self.actionLoG.triggered.connect(DigitalImageProcessing.LoG)
+        self.actionCanny.triggered.connect(DigitalImageProcessing.canny)
+        self.actionfushi.triggered.connect(DigitalImageProcessing.corrode)
+        self.actionpengzhang.triggered.connect(DigitalImageProcessing.dilation)
+        self.actionkaiyunsuan.triggered.connect(DigitalImageProcessing.open)
+        self.actionbiyunsuan.triggered.connect(DigitalImageProcessing.close)
+        self.actionzao_sheng_miaoshuqi.triggered.connect(DigitalImageProcessing.describe)
+        self.actionjunzhileilvboqi.triggered.connect(DigitalImageProcessing.meanFilter)
+        self.actionpaixutongjileilvboqi.triggered.connect(DigitalImageProcessing.sortFilter)
+        self.actionxuanzexinglvboqi.triggered.connect(DigitalImageProcessing.selectiveFilter)
+        self.actionlingyupingjunfa.triggered.connect(DigitalImageProcessing.avg_blur)
+        self.actionzhongzhilvbo.triggered.connect(DigitalImageProcessing.mid_blur)
+        self.actionlixiang.triggered.connect(DigitalImageProcessing.low_pass)
+        self.actionButterworth.triggered.connect(DigitalImageProcessing.butterworth)
+        self.actionGauss.triggered.connect(DigitalImageProcessing.gauss)
+        QtCore.QMetaObject.connectSlotsByName(DigitalImageProcessing)
+
+    def retranslateUi(self, DigitalImageProcessing):
+        _translate = QtCore.QCoreApplication.translate
+        DigitalImageProcessing.setWindowTitle(_translate("DigitalImageProcessing", "数字图像处理"))
+        self.groupBox.setTitle(_translate("DigitalImageProcessing", "原始图片"))
+        self.groupBox_2.setTitle(_translate("DigitalImageProcessing", "修改后图片"))
+        self.pushButton.setText(_translate("DigitalImageProcessing", "打开图片"))
+        self.menu.setTitle(_translate("DigitalImageProcessing", "数字图像的计算"))
+        self.menu_2.setTitle(_translate("DigitalImageProcessing", "数字图像的几何变换"))
+        self.menu_3.setTitle(_translate("DigitalImageProcessing", "数字图像直方图"))
+        self.menu_Hough.setTitle(_translate("DigitalImageProcessing", "使用Hough变换实现线条变换检测"))
+        self.menu_4.setTitle(_translate("DigitalImageProcessing", "边缘检测"))
+        self.menu_5.setTitle(_translate("DigitalImageProcessing", "数字图像形态学"))
+        self.menu_6.setTitle(_translate("DigitalImageProcessing", "噪声滤除"))
+        self.menu_7.setTitle(_translate("DigitalImageProcessing", "空域的平滑"))
+        self.menu_8.setTitle(_translate("DigitalImageProcessing", "频域的平滑"))
+        self.actionyu.setText(_translate("DigitalImageProcessing", "与运算"))
+        self.actionhuo.setText(_translate("DigitalImageProcessing", "或运算"))
+        self.actionfei.setText(_translate("DigitalImageProcessing", "非运算"))
+        self.actionjiafa.setText(_translate("DigitalImageProcessing", "加法运算"))
+        self.actionjianfa.setText(_translate("DigitalImageProcessing", "减法运算"))
+        self.actionchengfa.setText(_translate("DigitalImageProcessing", "乘法运算"))
+        self.actionchufa.setText(_translate("DigitalImageProcessing", "除法运算"))
+        self.actionkuozhansuofang.setText(_translate("DigitalImageProcessing", "扩展缩放"))
+        self.actiontuxiangpingyi.setText(_translate("DigitalImageProcessing", "图像平移"))
+        self.actiontuxiangxuanzhuan.setText(_translate("DigitalImageProcessing", "图像旋转"))
+        self.actiontuxiangfanzhuan.setText(_translate("DigitalImageProcessing", "图像水平翻转"))
+        self.actionchuizhifanzhuan.setText(_translate("DigitalImageProcessing", "图像垂直翻转"))
+        self.actionhuiduzhifangtu.setText(_translate("DigitalImageProcessing", "灰度直方图"))
+        self.actioncaisezhifangtu.setText(_translate("DigitalImageProcessing", "彩色直方图"))
+        self.actionhuizhizhifangtu.setText(_translate("DigitalImageProcessing", "绘制直方图"))
+        self.actionfenduanxianxingbianhuanduizhifangtuxiugai.setText(_translate("DigitalImageProcessing", "分段线性变换对直方图修改"))
+        self.actionbianyuanjiancedejibenyuanli.setText(_translate("DigitalImageProcessing", "边缘检测的基本原理与图像增强"))
+        self.actionRoberts.setText(_translate("DigitalImageProcessing", "Roberts"))
+        self.actionPrewitt_Sobel.setText(_translate("DigitalImageProcessing", "Prewitt & Sobel"))
+        self.actionLaplacian.setText(_translate("DigitalImageProcessing", "Laplacian"))
+        self.actionLoG.setText(_translate("DigitalImageProcessing", "LoG"))
+        self.actionCanny.setText(_translate("DigitalImageProcessing", "Canny"))
+        self.actionxingtaixue.setText(_translate("DigitalImageProcessing", "图像形态学操作"))
+        self.actionjiegouyuandefenlei.setText(_translate("DigitalImageProcessing", "jiegouyuandefenlei"))
+        self.actionfushi.setText(_translate("DigitalImageProcessing", "腐蚀"))
+        self.actionpengzhang.setText(_translate("DigitalImageProcessing", "膨胀"))
+        self.actionkaiyunsuan.setText(_translate("DigitalImageProcessing", "开运算"))
+        self.actionbiyunsuan.setText(_translate("DigitalImageProcessing", "闭运算"))
+        self.actionzao_sheng_miaoshuqi.setText(_translate("DigitalImageProcessing", "噪声描述器"))
+        self.actionjunzhileilvboqi.setText(_translate("DigitalImageProcessing", "均值滤波器"))
+        self.actionpaixutongjileilvboqi.setText(_translate("DigitalImageProcessing", "排序统计类滤波器"))
+        self.actionxuanzexinglvboqi.setText(_translate("DigitalImageProcessing", "选择性滤波器"))
+        self.actionfangshebianhuan.setText(_translate("DigitalImageProcessing", "仿射变换"))
+        self.actionHough.setText(_translate("DigitalImageProcessing", "使用Hough变换实现线条变化检测"))
+        self.actionHoughP.setText(_translate("DigitalImageProcessing", "HoughP"))
+        self.actionlingyupingjunfa.setText(_translate("DigitalImageProcessing", "邻域平均法"))
+        self.actionzhongzhilvbo.setText(_translate("DigitalImageProcessing", "中值滤波法"))
+        self.actionlixiang.setText(_translate("DigitalImageProcessing", "理想低通滤波"))
+        self.actionButterworth.setText(_translate("DigitalImageProcessing", "巴特沃斯低通滤波"))
+        self.actionGauss.setText(_translate("DigitalImageProcessing", "高斯低通滤波"))
--- a/DIP.ui
+++ b/DIP.ui
@ -0,0 +1,412 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<ui version="4.0">
+ <class>DigitalImageProcessing</class>
+ <widget class="QMainWindow" name="DigitalImageProcessing">
+  <property name="geometry">
+   <rect>
+    <x>0</x>
+    <y>0</y>
+    <width>975</width>
+    <height>614</height>
+   </rect>
+  </property>
+  <property name="windowTitle">
+   <string>数字图像处理</string>
+  </property>
+  <widget class="QWidget" name="centralwidget">
+   <widget class="QGroupBox" name="groupBox">
+    <property name="geometry">
+     <rect>
+      <x>30</x>
+      <y>40</y>
+      <width>421</width>
+      <height>321</height>
+     </rect>
+    </property>
+    <property name="font">
+     <font>
+      <family>Agency FB</family>
+      <pointsize>14</pointsize>
+     </font>
+    </property>
+    <property name="title">
+     <string>原始图片</string>
+    </property>
+    <widget class="QLabel" name="original_img">
+     <property name="geometry">
+      <rect>
+       <x>40</x>
+       <y>30</y>
+       <width>351</width>
+       <height>261</height>
+      </rect>
+     </property>
+     <property name="styleSheet">
+      <string notr="true">background : rgb(0, 170, 255)</string>
+     </property>
+     <property name="text">
+      <string/>
+     </property>
+    </widget>
+   </widget>
+   <widget class="QGroupBox" name="groupBox_2">
+    <property name="geometry">
+     <rect>
+      <x>520</x>
+      <y>40</y>
+      <width>411</width>
+      <height>321</height>
+     </rect>
+    </property>
+    <property name="font">
+     <font>
+      <family>Agency FB</family>
+      <pointsize>14</pointsize>
+     </font>
+    </property>
+    <property name="title">
+     <string>修改后图片</string>
+    </property>
+    <widget class="QLabel" name="fixed_img">
+     <property name="geometry">
+      <rect>
+       <x>30</x>
+       <y>30</y>
+       <width>361</width>
+       <height>261</height>
+      </rect>
+     </property>
+     <property name="styleSheet">
+      <string notr="true">background : rgb(0, 170, 255)</string>
+     </property>
+     <property name="text">
+      <string/>
+     </property>
+    </widget>
+   </widget>
+   <widget class="QPushButton" name="pushButton">
+    <property name="geometry">
+     <rect>
+      <x>390</x>
+      <y>410</y>
+      <width>191</width>
+      <height>91</height>
+     </rect>
+    </property>
+    <property name="text">
+     <string>打开图片</string>
+    </property>
+   </widget>
+  </widget>
+  <widget class="QMenuBar" name="menubar">
+   <property name="geometry">
+    <rect>
+     <x>0</x>
+     <y>0</y>
+     <width>975</width>
+     <height>21</height>
+    </rect>
+   </property>
+   <widget class="QMenu" name="menu">
+    <property name="title">
+     <string>数字图像的计算</string>
+    </property>
+    <addaction name="actionyu"/>
+    <addaction name="actionhuo"/>
+    <addaction name="actionfei"/>
+    <addaction name="actionjiafa"/>
+    <addaction name="actionjianfa"/>
+    <addaction name="actionchengfa"/>
+    <addaction name="actionchufa"/>
+   </widget>
+   <widget class="QMenu" name="menu_2">
+    <property name="title">
+     <string>数字图像的几何变换</string>
+    </property>
+    <addaction name="actionkuozhansuofang"/>
+    <addaction name="actiontuxiangpingyi"/>
+    <addaction name="actiontuxiangxuanzhuan"/>
+    <addaction name="actiontuxiangfanzhuan"/>
+    <addaction name="actionchuizhifanzhuan"/>
+    <addaction name="actionfangshebianhuan"/>
+   </widget>
+   <widget class="QMenu" name="menu_3">
+    <property name="title">
+     <string>数字图像直方图</string>
+    </property>
+    <addaction name="actionhuiduzhifangtu"/>
+    <addaction name="actioncaisezhifangtu"/>
+    <addaction name="actionhuizhizhifangtu"/>
+    <addaction name="actionfenduanxianxingbianhuanduizhifangtuxiugai"/>
+   </widget>
+   <widget class="QMenu" name="menu_Hough">
+    <property name="title">
+     <string>使用Hough变换实现线条变换检测</string>
+    </property>
+    <addaction name="actionHough"/>
+    <addaction name="actionHoughP"/>
+   </widget>
+   <widget class="QMenu" name="menu_4">
+    <property name="title">
+     <string>边缘检测</string>
+    </property>
+    <addaction name="actionbianyuanjiancedejibenyuanli"/>
+    <addaction name="actionRoberts"/>
+    <addaction name="actionPrewitt_Sobel"/>
+    <addaction name="actionLaplacian"/>
+    <addaction name="actionLoG"/>
+    <addaction name="actionCanny"/>
+   </widget>
+   <widget class="QMenu" name="menu_5">
+    <property name="title">
+     <string>数字图像形态学</string>
+    </property>
+    <addaction name="actionfushi"/>
+    <addaction name="actionpengzhang"/>
+    <addaction name="actionkaiyunsuan"/>
+    <addaction name="actionbiyunsuan"/>
+   </widget>
+   <widget class="QMenu" name="menu_6">
+    <property name="title">
+     <string>噪声滤除</string>
+    </property>
+    <addaction name="actionzao_sheng_miaoshuqi"/>
+    <addaction name="actionjunzhileilvboqi"/>
+    <addaction name="actionpaixutongjileilvboqi"/>
+    <addaction name="actionxuanzexinglvboqi"/>
+   </widget>
+   <widget class="QMenu" name="menu_7">
+    <property name="title">
+     <string>空域的平滑</string>
+    </property>
+    <addaction name="actionlingyupingjunfa"/>
+    <addaction name="actionzhongzhilvbo"/>
+   </widget>
+   <widget class="QMenu" name="menu_8">
+    <property name="title">
+     <string>频域的平滑</string>
+    </property>
+    <addaction name="actionlixiang"/>
+    <addaction name="actionButterworth"/>
+    <addaction name="actionGauss"/>
+   </widget>
+   <addaction name="menu"/>
+   <addaction name="menu_2"/>
+   <addaction name="menu_3"/>
+   <addaction name="menu_Hough"/>
+   <addaction name="menu_4"/>
+   <addaction name="menu_5"/>
+   <addaction name="menu_6"/>
+   <addaction name="menu_7"/>
+   <addaction name="menu_8"/>
+  </widget>
+  <widget class="QStatusBar" name="statusbar"/>
+  <action name="actionyu">
+   <property name="text">
+    <string>与运算</string>
+   </property>
+  </action>
+  <action name="actionhuo">
+   <property name="text">
+    <string>或运算</string>
+   </property>
+  </action>
+  <action name="actionfei">
+   <property name="text">
+    <string>非运算</string>
+   </property>
+  </action>
+  <action name="actionjiafa">
+   <property name="text">
+    <string>加法运算</string>
+   </property>
+  </action>
+  <action name="actionjianfa">
+   <property name="text">
+    <string>减法运算</string>
+   </property>
+  </action>
+  <action name="actionchengfa">
+   <property name="text">
+    <string>乘法运算</string>
+   </property>
+  </action>
+  <action name="actionchufa">
+   <property name="text">
+    <string>除法运算</string>
+   </property>
+  </action>
+  <action name="actionkuozhansuofang">
+   <property name="text">
+    <string>扩展缩放</string>
+   </property>
+  </action>
+  <action name="actiontuxiangpingyi">
+   <property name="text">
+    <string>图像平移</string>
+   </property>
+  </action>
+  <action name="actiontuxiangxuanzhuan">
+   <property name="text">
+    <string>图像旋转</string>
+   </property>
+  </action>
+  <action name="actiontuxiangfanzhuan">
+   <property name="text">
+    <string>图像水平翻转</string>
+   </property>
+  </action>
+  <action name="actionchuizhifanzhuan">
+   <property name="text">
+    <string>图像垂直翻转</string>
+   </property>
+  </action>
+  <action name="actionhuiduzhifangtu">
+   <property name="text">
+    <string>灰度直方图</string>
+   </property>
+  </action>
+  <action name="actioncaisezhifangtu">
+   <property name="text">
+    <string>彩色直方图</string>
+   </property>
+  </action>
+  <action name="actionhuizhizhifangtu">
+   <property name="text">
+    <string>绘制直方图</string>
+   </property>
+  </action>
+  <action name="actionfenduanxianxingbianhuanduizhifangtuxiugai">
+   <property name="text">
+    <string>分段线性变换对直方图修改</string>
+   </property>
+  </action>
+  <action name="actionbianyuanjiancedejibenyuanli">
+   <property name="text">
+    <string>边缘检测的基本原理与图像增强</string>
+   </property>
+  </action>
+  <action name="actionRoberts">
+   <property name="text">
+    <string>Roberts</string>
+   </property>
+  </action>
+  <action name="actionPrewitt_Sobel">
+   <property name="text">
+    <string>Prewitt &amp; Sobel</string>
+   </property>
+  </action>
+  <action name="actionLaplacian">
+   <property name="text">
+    <string>Laplacian</string>
+   </property>
+  </action>
+  <action name="actionLoG">
+   <property name="text">
+    <string>LoG</string>
+   </property>
+  </action>
+  <action name="actionCanny">
+   <property name="text">
+    <string>Canny</string>
+   </property>
+  </action>
+  <action name="actionxingtaixue">
+   <property name="text">
+    <string>图像形态学操作</string>
+   </property>
+  </action>
+  <action name="actionjiegouyuan">
+   <property name="text">
+    <string/>
+   </property>
+  </action>
+  <action name="actionjiegouyuandefenlei">
+   <property name="text">
+    <string>jiegouyuandefenlei</string>
+   </property>
+  </action>
+  <action name="actionfushi">
+   <property name="text">
+    <string>腐蚀</string>
+   </property>
+  </action>
+  <action name="actionpengzhang">
+   <property name="text">
+    <string>膨胀</string>
+   </property>
+  </action>
+  <action name="actionkaiyunsuan">
+   <property name="text">
+    <string>开运算</string>
+   </property>
+  </action>
+  <action name="actionbiyunsuan">
+   <property name="text">
+    <string>闭运算</string>
+   </property>
+  </action>
+  <action name="actionzao_sheng_miaoshuqi">
+   <property name="text">
+    <string>噪声描述器</string>
+   </property>
+  </action>
+  <action name="actionjunzhileilvboqi">
+   <property name="text">
+    <string>均值滤波器</string>
+   </property>
+  </action>
+  <action name="actionpaixutongjileilvboqi">
+   <property name="text">
+    <string>排序统计类滤波器</string>
+   </property>
+  </action>
+  <action name="actionxuanzexinglvboqi">
+   <property name="text">
+    <string>选择性滤波器</string>
+   </property>
+  </action>
+  <action name="actionfangshebianhuan">
+   <property name="text">
+    <string>仿射变换</string>
+   </property>
+  </action>
+  <action name="actionHough">
+   <property name="text">
+    <string>使用Hough变换实现线条变化检测</string>
+   </property>
+  </action>
+  <action name="actionHoughP">
+   <property name="text">
+    <string>HoughP</string>
+   </property>
+  </action>
+  <action name="actionlingyupingjunfa">
+   <property name="text">
+    <string>邻域平均法</string>
+   </property>
+  </action>
+  <action name="actionzhongzhilvbo">
+   <property name="text">
+    <string>中值滤波法</string>
+   </property>
+  </action>
+  <action name="actionlixiang">
+   <property name="text">
+    <string>理想低通滤波</string>
+   </property>
+  </action>
+  <action name="actionButterworth">
+   <property name="text">
+    <string>巴特沃斯低通滤波</string>
+   </property>
+  </action>
+  <action name="actionGauss">
+   <property name="text">
+    <string>高斯低通滤波</string>
+   </property>
+  </action>
+ </widget>
+ <resources/>
+ <connections/>
+</ui>
--- a/EdgeDetection.py
+++ b/EdgeDetection.py
@ -0,0 +1,78 @@
+import cv2
+import numpy as np
+
+
+class edgeDetect:
+    def __init__(self, imgPath):
+        self.path = imgPath
+
+    def graphicsEnhance(self):
+        img_gray = cv2.imread(self.path, 0)
+        h, w = img_gray.shape
+        gradient = np.zeros((h, w))
+        # 计算图像梯度
+        img_gray = img_gray.astype('float')
+        for i in range(h - 1):
+            for j in range(w - 1):
+                gx = abs(img_gray[i + 1, j] - img_gray[i, j])
+                gy = abs(img_gray[i, j + 1] - img_gray[i, j])
+                gradient[i, j] = gx + gy
+        # sharp为结果
+        sharp = img_gray + gradient
+        sharp = np.where(sharp > 255, 255, sharp)
+        sharp = np.where(sharp < 0, 0, sharp)
+        cv2.imwrite("saved Img/sharp.bmp", sharp)
+
+    def roberts(self):
+        img = cv2.imread(self.path)
+        img = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
+        kernelx = np.array([[-1, 0], [0, 1]], dtype=int)
+        kernely = np.array([[0, -1], [1, 0]], dtype=int)
+        x = cv2.filter2D(img, cv2.CV_16S, kernelx)
+        y = cv2.filter2D(img, cv2.CV_16S, kernely)
+        absX = cv2.convertScaleAbs(x)
+        absY = cv2.convertScaleAbs(y)
+        Roberts = cv2.addWeighted(absX, 0.5, absY, 0.5, 0)
+        cv2.imwrite("saved Img/roberts.bmp", Roberts)
+
+    def sobel(self):
+        Sobel = cv2.imread(self.path)
+        Sobel = cv2.cvtColor(Sobel, cv2.COLOR_BGR2GRAY)
+        x = cv2.Sobel(Sobel, cv2.CV_16S, 1, 0)
+        y = cv2.Sobel(Sobel, cv2.CV_16S, 0, 1)
+        absX = cv2.convertScaleAbs(x)
+        absY = cv2.convertScaleAbs(y)
+        Sobel = cv2.addWeighted(absX, 0.5, absY, 0.5, 0)
+        cv2.imwrite("saved Img/sobel.bmp", Sobel)
+
+    def laplacian(self):
+        img = cv2.imread(self.path)
+        grayImage = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
+        dst = cv2.Laplacian(grayImage, cv2.CV_16S, ksize=3)
+        Laplacian = cv2.convertScaleAbs(dst)
+        cv2.imwrite("saved Img/laplacian.bmp", Laplacian)
+
+    def LoG(self):
+        img = cv2.imread(self.path)
+        grayImage = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)
+        img = cv2.copyMakeBorder(grayImage, 2, 2, 2, 2, borderType=cv2.BORDER_REPLICATE)
+        img = cv2.GaussianBlur(img, (3, 3), 0, 0)
+        m1 = np.array(
+            [[0, 0, -1, 0, 0], [0, -1, -2, -1, 0], [-1, -2, 16, -2, -1], [0, -1, -2, -1, 0], [0, 0, -1, 0, 0]],
+            dtype=np.int32)
+        image1 = np.zeros(img.shape).astype(np.int32)
+        h, w, _ = img.shape
+        for i in range(2, h - 2):
+            for j in range(2, w - 2):
+                image1[i, j] = np.sum(m1 * img[i - 2:i + 3, j - 2:j + 3, 1])
+        image1 = cv2.convertScaleAbs(image1)
+        cv2.imwrite("saved Img/log.bmp", image1)
+
+    def canny(self):
+        src = cv2.imread(self.path)
+        blur = cv2.GaussianBlur(src, (3, 3), 0)
+        grayImage = cv2.cvtColor(blur, cv2.COLOR_BGR2GRAY)
+        gradx = cv2.Sobel(grayImage, cv2.CV_16SC1, 1, 0)
+        grady = cv2.Sobel(grayImage, cv2.CV_16SC1, 0, 1)
+        edge_output = cv2.Canny(gradx, grady, 50, 150)
+        cv2.imwrite("saved Img/canny.bmp", edge_output)
--- a/FrequencySmoothing.py
+++ b/FrequencySmoothing.py
@ -0,0 +1,66 @@
+import cv2
+import numpy as np
+import matplotlib.pyplot as plt
+
+
+class frequency_filter:
+    def __init__(self, img_path):
+        self.path = img_path
+
+    def Ideal_low_pass_filtering_smooth(self):
+        img = cv2.imread(self.path)
+        img = cv2.cvtColor(img, cv2.COLOR_RGB2GRAY)
+        img = np.float32(img)
+        dft = cv2.dft(img, flags=cv2.DFT_COMPLEX_OUTPUT)
+        dft = np.fft.fftshift(dft)
+        rows, cols = img.shape
+        mask = np.zeros((rows, cols, 2), dtype=np.uint8)
+        mask[int(rows / 2) - 20:int(rows / 2) + 20, int(cols / 2) - 20:int(cols / 2) + 20] = 1
+        f = dft * mask
+        f = np.fft.ifftshift(f)
+        img = cv2.idft(f)
+        img = cv2.magnitude(img[:, :, 0], img[:, :, 1])
+        filename = "saved Img/ideal_low_pass.bmp"
+        plt.imsave(filename, img, cmap='gray')
+
+    def butterworth(self, D0, N):
+        D0 = int(D0)
+        N = int(N)
+        img = cv2.imread(self.path)
+        img = cv2.cvtColor(img, cv2.COLOR_RGB2GRAY)
+        img = np.float32(img)
+        dft = cv2.dft(img, flags=cv2.DFT_COMPLEX_OUTPUT)
+        dft = np.fft.fftshift(dft)
+        rows, cols = img.shape
+        mask = np.zeros((rows, cols, 2))
+        for i in range(rows):
+            for j in range(cols):
+                D = np.sqrt((i - rows / 2) ** 2 + (j - cols / 2) ** 2)
+                mask[i, j, 0] = mask[i, j, 1] = 1.0 / (1.0 + ((D / D0) ** (2 * N)))
+        f = dft * mask
+        f = np.fft.ifftshift(f)
+        img = cv2.idft(f)
+        img = cv2.magnitude(img[:, :, 0], img[:, :, 1])
+        filename = "saved Img/butterworth.bmp"
+        plt.imsave(filename, img, cmap='gray')
+
+    def gauss(self, D0):
+        D0 = int(D0)
+        img = cv2.imread(self.path)
+        img = cv2.cvtColor(img, cv2.COLOR_RGB2GRAY)
+        img = np.float32(img)
+        dft = cv2.dft(img, flags=cv2.DFT_COMPLEX_OUTPUT)
+        dft = np.fft.fftshift(dft)
+        rows, cols = img.shape
+        crow, ccol = int(rows / 2), int(cols / 2)
+        mask = np.zeros((rows, cols, 2))
+        for i in range(rows):
+            for j in range(cols):
+                D = np.sqrt((i - crow) ** 2 + (j - ccol) ** 2)
+                mask[i, j, 0] = mask[i, j, 1] = np.exp(-(D * D) / (2 * D0 * D0))
+        f = dft * mask
+        f = np.fft.ifftshift(f)
+        img = cv2.idft(f)
+        img = cv2.magnitude(img[:, :, 0], img[:, :, 1])
+        filename = "saved Img/gauss.bmp"
+        plt.imsave(filename, img, cmap='gray')
--- a/GeometricalChange.py
+++ b/GeometricalChange.py
@ -0,0 +1,47 @@
+import cv2
+import numpy as np
+
+
+class GeoChange:
+    def __init__(self, imgPath):
+        self.path = imgPath
+
+    def extend(self, size):
+        img = cv2.imread(self.path)
+        img = cv2.resize(img, (0, 0), fx=size, fy=size, interpolation=cv2.INTER_LINEAR)
+        cv2.imwrite("saved Img/size.bmp", img)
+
+    def move(self, x, y):
+        img = cv2.imread(self.path)
+        height, width, channel = img.shape
+        # 构建平移矩阵
+        matrix = np.float32([[1, 0, x], [0, 1, y]])
+        img = cv2.warpAffine(img, matrix, (width, height))
+        cv2.imwrite("saved Img/move.bmp", img)
+
+    def horizon_flip(self):
+        img = cv2.imread(self.path)
+        horizon = cv2.flip(img, 1, dst=None)
+        cv2.imwrite("saved Img/horizon.bmp", horizon)
+
+    def vertical_flip(self):
+        img = cv2.imread(self.path)
+        vertical = cv2.flip(img, 0, dst=None)
+        cv2.imwrite("saved Img/vertical.bmp", vertical)
+
+    def rotation(self, degree):
+        img = cv2.imread(self.path)
+        rows, cols, depth = img.shape
+        matrix = cv2.getRotationMatrix2D((cols / 2, rows / 2), degree, 1)
+        img = cv2.warpAffine(img, matrix, (cols, rows))
+        cv2.imwrite("saved Img/rotation.bmp", img)
+
+    def affine(self):
+        img = cv2.imread(self.path)
+        img = cv2.resize(img, (256, 256))
+        rows, cols = img.shape[: 2]
+        post1 = np.float32([[50, 50], [200, 50], [50, 200]])
+        post2 = np.float32([[10, 100], [200, 50], [100, 250]])
+        M = cv2.getAffineTransform(post1, post2)
+        result = cv2.warpAffine(img, M, (rows, cols))
+        cv2.imwrite("saved Img/affine.bmp", result)
--- a/Histogram.py
+++ b/Histogram.py
@ -0,0 +1,74 @@
+import cv2
+import matplotlib.pyplot as plt
+import numpy as np
+
+
+class Histogram:
+    def __init__(self, imgPath):
+        self.path = imgPath
+
+    def histGrey(self):
+        img1 = cv2.imread(self.path)
+        img = cv2.cvtColor(img1, cv2.COLOR_RGB2GRAY)
+        hist = cv2.calcHist([img], [0], None, [256], [0, 255])
+        plt.plot(hist)
+        plt.xlim([0, 255])
+        plt.show()
+
+    def histRGB(self):
+        src = cv2.imread(self.path)
+        color = ["r", "g", "b"]
+        b, g, r = cv2.split(src)
+        src = cv2.merge([r, g, b])
+        for index, c in enumerate(color):
+            hist = cv2.calcHist([src], [index], None, [256], [0, 255])
+            plt.plot(hist, color=c)
+            plt.xlim([0, 255])
+        plt.show()
+
+    def hist(self):
+        src = cv2.imread(self.path)
+        b, g, r = cv2.split(src)
+        src = cv2.merge([r, g, b])
+        histr = cv2.calcHist([src], [0], None, [256], [0, 256])
+        plt.plot(histr, color='r')
+        plt.xlim([0, 256])
+        histr = cv2.calcHist([src], [1], None, [256], [0, 256])
+        plt.plot(histr, color='g')
+        plt.xlim([0, 256])
+        histr = cv2.calcHist([src], [2], None, [256], [0, 256])
+        plt.plot(histr, color='b')
+        plt.xlim([0, 256])
+        plt.show()
+
+    def editHist(self):
+        img = cv2.imread(self.path, 0)
+        h, w = img.shape[:2]
+        out = np.zeros(img.shape, np.uint8)
+        for i in range(h):
+            for j in range(w):
+                pix = img[i][j]
+                if pix < 50:
+                    out[i][j] = 0.5 * pix
+                elif pix < 150:
+                    out[i][j] = 3.6 * pix - 310
+                else:
+                    out[i][j] = 0.238 * pix + 194
+        out = np.around(out)
+        out = out.astype(np.uint8)
+        plt.subplot(121)
+        plt.imshow(img, 'gray')
+        plt.subplot(122)
+        pixelSequence = img.ravel()
+        numberBins = 256
+        histogram, bins, patch = plt.hist(pixelSequence, numberBins)
+        plt.axis([0, 255, 0, np.max(histogram)])
+        plt.show()
+        plt.subplot(121)
+        plt.imshow(out, 'gray')
+        plt.subplot(122)
+        pixelSequence = out.ravel()
+        numberBins = 256
+        histogram, bins, patch = plt.hist(pixelSequence, numberBins)
+        plt.axis([0, 255, 0, np.max(histogram)])
+        plt.show()
--- a/Hough.py
+++ b/Hough.py
@ -0,0 +1,41 @@
+import cv2
+import numpy as np
+import matplotlib.pyplot as plt
+
+
+class Hough:
+    def __init__(self, imgPath):
+        self.path = imgPath
+
+    def line_change_detection(self):
+        img = cv2.imread(self.path)
+        img = cv2.GaussianBlur(img, (3, 3), 0)
+        edges = cv2.Canny(img, 50, 150, apertureSize=3)
+        lines = cv2.HoughLines(edges, 1, np.pi / 2, 118)
+        result = img.copy()
+        for i_line in lines:
+            for line in i_line:
+                rho = line[0]
+                theta = line[1]
+                if (theta < (np.pi / 4.)) or (theta > (3. * np.pi / 4.0)):  # 垂直直线
+                    pt1 = (int(rho / np.cos(theta)), 0)
+                    pt2 = (int((rho - result.shape[0] * np.sin(theta)) / np.cos(theta)), result.shape[0])
+                    cv2.line(result, pt1, pt2, (0, 0, 255))
+                else:
+                    pt1 = (0, int(rho / np.sin(theta)))
+                    pt2 = (result.shape[1], int((rho - result.shape[1] * np.cos(theta)) / np.sin(theta)))
+                    cv2.line(result, pt1, pt2, (0, 0, 255), 1)
+        cv2.imwrite('saved Img/result.bmp', result)
+
+    def line_change_detection_P(self):
+        img = cv2.imread(self.path)
+        img = cv2.GaussianBlur(img, (3, 3), 0)
+        edges = cv2.Canny(img, 50, 150, apertureSize=3)
+        minLineLength = 200
+        maxLineGap = 15
+        linesP = cv2.HoughLinesP(edges, 1, np.pi / 180, 80, minLineLength, maxLineGap)
+        result_P = img.copy()
+        for i_P in linesP:
+            for x1, y1, x2, y2 in i_P:
+                cv2.line(result_P, (x1, y1), (x2, y2), (0, 255, 0), 3)
+        cv2.imwrite('saved Img/result_p.bmp', result_P)
--- a/LogicalAlgorithm.py
+++ b/LogicalAlgorithm.py
@ -0,0 +1,61 @@
+import cv2
+import numpy as np
+
+
+class logicalAlgorithm:
+    def __init__(self, img_path1, img_path2):
+        self.path1 = img_path1
+        self.path2 = img_path2
+
+    def alAnd(self):
+        x = cv2.imread(self.path1, 1)
+        y = cv2.imread(self.path2, 1)
+        rows, cols = x.shape[:2]
+        y_dst = cv2.resize(y, (cols, rows), interpolation=cv2.INTER_CUBIC)
+        result = (x & y_dst)
+        cv2.imwrite("saved Img/And.bmp", result)
+
+    def alOr(self):
+        x = cv2.imread(self.path1, 1)
+        y = cv2.imread(self.path2, 1)
+        rows, cols = x.shape[:2]
+        y_dst = cv2.resize(y, (cols, rows), interpolation=cv2.INTER_CUBIC)
+        result = (x | y_dst)
+        cv2.imwrite("saved Img/Or.bmp", result)
+
+    def alNegation(self):
+        x = cv2.imread(self.path1, 1)
+        result = (~x)
+        cv2.imwrite("saved Img/Negation.bmp", result)
+
+    def alAdd(self):
+        x = cv2.imread(self.path1, 1)
+        y = cv2.imread(self.path2, 1)
+        rows, cols = x.shape[:2]
+        y_dst = cv2.resize(y, (cols, rows), interpolation=cv2.INTER_CUBIC)
+        result = cv2.add(x, y_dst)
+        cv2.imwrite("saved Img/Add.bmp", result)
+
+    def alSubtract(self):
+        x = cv2.imread(self.path1, 1)
+        y = cv2.imread(self.path2, 1)
+        rows, cols = x.shape[:2]
+        y_dst = cv2.resize(y, (cols, rows), interpolation=cv2.INTER_CUBIC)
+        result = cv2.subtract(x, y_dst)
+        cv2.imwrite("saved Img/Subtract.bmp", result)
+
+    def alMulty(self):
+        x = cv2.imread(self.path1, 1).astype(np.float64)/255
+        y = cv2.imread(self.path2, 1).astype(np.float64)/255
+        rows, cols = x.shape[:2]
+        y_dst = cv2.resize(y, (cols, rows), interpolation=cv2.INTER_CUBIC)
+        result = cv2.multiply(x, y_dst) * 255
+        cv2.imwrite("saved Img/Multiply.bmp", result)
+
+    def alDivide(self):
+        x = cv2.imread(self.path1, 1).astype(np.float64)/255
+        y = cv2.imread(self.path2, 1).astype(np.float64)/255
+        rows, cols = x.shape[:2]
+        y_dst = cv2.resize(y, (cols, rows), interpolation=cv2.INTER_CUBIC)
+        result = cv2.divide(x, y_dst) * 255
+        cv2.imwrite("saved Img/Divide.bmp", result)
--- a/NoiseCanceller.py
+++ b/NoiseCanceller.py
@ -0,0 +1,78 @@
+import random
+
+import cv2
+import numpy as np
+
+
+class noiseCanceller:
+    def __init__(self, imgPath):
+        self.path = imgPath
+
+    def noiseDescriber(self):
+        image = cv2.imread(self.path, cv2.IMREAD_GRAYSCALE)
+        output = np.zeros(image.shape, np.uint8)
+        prob = 0.2
+        thres = 1 - prob
+        # 遍历图像，获取叠加噪声后的图像
+        for i in range(image.shape[0]):
+            for j in range(image.shape[1]):
+                rdn = random.random()
+                if rdn < prob:
+                    # 添加胡椒噪声
+                    output[i][j] = 0
+                elif rdn > thres:
+                    # 添加食盐噪声
+                    output[i][j] = 255
+                else:
+                    # 不添加噪声
+                    output[i][j] = image[i][j]
+        cv2.imwrite("saved Img/out.bmp", output)
+
+    def meanFilter(self):
+        image = cv2.imread(self.path, cv2.IMREAD_GRAYSCALE)
+        output = np.zeros(image.shape, np.uint8)
+        for i in range(image.shape[0]):
+            for j in range(image.shape[1]):
+                ij = 1
+                for m in range(-1, 2):
+                    if 0 <= j + m < image.shape[1]:
+                        ij *= image[i][j + m]
+                        output[i][j] = ij ** (1 / 3)
+        cv2.imwrite("saved Img/mean filter.bmp", output)
+
+    def sortFilter(self):
+        def get_max(array):
+            length = len(array)
+            for i in range(length):
+                for j in range(i + 1, length):
+                    if array[j] > array[i]:
+                        temp = array[j]
+                        array[j] = array[i]
+                        array[i] = temp
+            return array[0]
+
+        image = cv2.imread(self.path, cv2.IMREAD_GRAYSCALE)
+        output = np.zeros(image.shape, np.uint8)
+        array = []
+        for i in range(image.shape[0]):
+            for j in range(image.shape[1]):
+                array.clear()
+                for m in range(-1, 2):
+                    for n in range(-1, 2):
+                        if 0 <= i + m < image.shape[0] and 0 <= j + n < image.shape[1]:
+                            array.append(image[i + m][j + n])
+
+                output[i][j] = get_max(array)
+        cv2.imwrite("saved Img/sort filter.bmp", output)
+
+    def selectiveFilter(self):
+        image = cv2.imread(self.path, cv2.IMREAD_GRAYSCALE)
+        output = np.zeros(image.shape, np.uint8)
+        minimum = 200
+        for i in range(image.shape[0]):
+            for j in range(image.shape[1]):
+                if minimum < image[i][j]:
+                    output[i][j] = image[i][j]
+                else:
+                    output[i][j] = 0
+        cv2.imwrite("saved Img/selective filter.bmp", output)
--- a/SpatialSmoothing.py
+++ b/SpatialSmoothing.py
@ -0,0 +1,18 @@
+import cv2
+
+
+class spatial:
+    def __init__(self, img_path):
+        self.path = img_path
+
+    def average_blur(self, ksize):
+        ksize = int(ksize)
+        img = cv2.imread(self.path)
+        avg_blur = cv2.blur(img, (ksize, ksize))
+        cv2.imwrite("saved Img/avg_blur.bmp", avg_blur)
+
+    def mid_blur(self, ksize):
+        ksize = int(ksize)
+        img = cv2.imread(self.path)
+        mid_blur = cv2.medianBlur(img, ksize)
+        cv2.imwrite("saved Img/mid_blur.bmp", mid_blur)
--- a/pycache/DIP.cpython-36.pyc
+++ b/pycache/DIP.cpython-36.pyc
--- a/pycache/EdgeDetection.cpython-36.pyc
+++ b/pycache/EdgeDetection.cpython-36.pyc
--- a/pycache/FrequencySmoothing.cpython-36.pyc
+++ b/pycache/FrequencySmoothing.cpython-36.pyc
--- a/pycache/GeometricalChange.cpython-36.pyc
+++ b/pycache/GeometricalChange.cpython-36.pyc
--- a/pycache/Histogram.cpython-36.pyc
+++ b/pycache/Histogram.cpython-36.pyc
--- a/pycache/Hough.cpython-36.pyc
+++ b/pycache/Hough.cpython-36.pyc
--- a/pycache/LogicalAlgorithm.cpython-36.pyc
+++ b/pycache/LogicalAlgorithm.cpython-36.pyc
--- a/pycache/NoiseCanceller.cpython-36.pyc
+++ b/pycache/NoiseCanceller.cpython-36.pyc
--- a/pycache/SpatialSmoothing.cpython-36.pyc
+++ b/pycache/SpatialSmoothing.cpython-36.pyc
--- a/pycache/morphology.cpython-36.pyc
+++ b/pycache/morphology.cpython-36.pyc
--- a/driver.py
+++ b/driver.py
@ -0,0 +1,324 @@
+import sys
+from PyQt5 import QtWidgets, QtGui
+from PyQt5.QtWidgets import *
+from DIP import Ui_DigitalImageProcessing
+from GeometricalChange import GeoChange
+from LogicalAlgorithm import logicalAlgorithm
+from Histogram import Histogram
+from Hough import Hough
+from EdgeDetection import edgeDetect
+from morphology import morphology
+from NoiseCanceller import noiseCanceller
+from SpatialSmoothing import spatial
+from FrequencySmoothing import frequency_filter
+
+
+class run(QtWidgets.QMainWindow, Ui_DigitalImageProcessing):
+
+    def __init__(self):
+        super(run, self).__init__()
+        self.setupUi(self)
+        # 原图像路径，后面将作为图像处理的参数，表示对哪张图片进行图像处理。
+        self.img_path = ""
+
+    # 打开图像函数
+    def openImg(self):
+        imgName, imgType = QFileDialog.getOpenFileName(self, "打开图片", "", "All Files(*);")
+        self.img_path = imgName
+        # 展示选中的图片
+        jpg = QtGui.QPixmap(imgName).scaled(self.original_img.width(), self.original_img.height())
+        self.original_img.setPixmap(jpg)
+
+    # 展示修改后图片
+    def showImg(self, pic_path):
+        jpg = QtGui.QPixmap(pic_path).scaled(self.fixed_img.width(), self.fixed_img.height())
+        self.fixed_img.setPixmap(jpg)
+
+    # 此处开始处理图像逻辑运算的槽函数, alAnd为图像与操作
+    def alAnd(self):
+        imgName, imgType = QFileDialog.getOpenFileName(self, "打开图片", "", "All Files(*);")
+        al = logicalAlgorithm(self.img_path, imgName)
+        al.alAnd()
+        self.showImg("saved Img/And.bmp")
+
+    # 图像或操作槽函数
+    def alOr(self):
+        imgName, imgType = QFileDialog.getOpenFileName(self, "打开图片", "", "All Files(*);")
+        al = logicalAlgorithm(self.img_path, imgName)
+        al.alOr()
+        self.showImg("saved Img/Or.bmp")
+
+    # 图像非操作槽函数
+    def alNegation(self):
+        al = logicalAlgorithm(self.img_path, self.img_path)
+        al.alNegation()
+        self.showImg("saved Img/Negation.bmp")
+
+    # 图像加法操作槽函数
+    def alAdd(self):
+        imgName, imgType = QFileDialog.getOpenFileName(self, "打开图片", "", "All Files(*);")
+        al = logicalAlgorithm(self.img_path, imgName)
+        al.alAdd()
+        self.showImg("saved Img/Add.bmp")
+
+    # 图像减法操作槽函数
+    def alSubtract(self):
+        imgName, imgType = QFileDialog.getOpenFileName(self, "打开图片", "", "All Files(*);")
+        al = logicalAlgorithm(self.img_path, imgName)
+        al.alSubtract()
+        self.showImg("saved Img/Subtract.bmp")
+
+    # 图像乘法操作槽函数
+    def alMulty(self):
+        imgName, imgType = QFileDialog.getOpenFileName(self, "打开图片", "", "All Files(*);")
+        al = logicalAlgorithm(self.img_path, imgName)
+        al.alMulty()
+        self.showImg("saved Img/Multiply.bmp")
+
+    # 图像除法操作槽函数
+    def alDivide(self):
+        imgName, imgType = QFileDialog.getOpenFileName(self, "打开图片", "", "All Files(*);")
+        al = logicalAlgorithm(self.img_path, imgName)
+        al.alDivide()
+        self.showImg("saved Img/Divide.bmp")
+
+    # 此处开始处理图像几何变化的槽函数，extend是图像放缩槽函数
+    def extend(self):
+        size, _ = QInputDialog.getText(self, "放缩倍数", "请输入放缩倍数, 倍数应为非负数。\n由于修改后图片预览是固定大小的，因此无法体现放缩效果\n请前往图片保存地址进行查看。", QLineEdit.Normal, "2")
+        try:
+            size = float(size)
+            geo = GeoChange(self.img_path)
+            geo.extend(size)
+            self.showImg("saved Img/size.bmp")
+        except Exception as error:
+            QMessageBox.about(self.window(), "提示", f"{error}\n输入有误！请检查输入格式与内容。")
+
+    # 图像平移槽函数
+    def moveImg(self):
+        xny, _ = QInputDialog.getText(self, "平移参数", "请输入平移参数\n输入格式为a,b其中a与b以英文逗号隔开。\n", QLineEdit.Normal, "20,20")
+        try:
+            ipt = xny.split(",")
+            a, b = [float(x) for x in ipt]
+            geo = GeoChange(self.img_path)
+            geo.move(a, b)
+            self.showImg("saved Img/move.bmp")
+        except Exception as error:
+            QMessageBox.about(self.window(), "提示", f"{error}\n输入有误!请检查输入格式与内容。")
+
+    # 图像旋转槽函数
+    def rotation(self):
+        degree, _ = QInputDialog.getText(self, "旋转角度", "请输入旋转角度，角度应为实数", QLineEdit.Normal, "90")
+        try:
+            degree = float(degree)
+            geo = GeoChange(self.img_path)
+            geo.rotation(degree)
+            self.showImg("saved Img/rotation.bmp")
+        except Exception as error:
+            QMessageBox.about(self.window(), "提示", f"{error}\n输入有误!请检查输入格式与内容。")
+
+    # 图像水平翻折槽函数
+    def horizonal(self):
+        geo = GeoChange(self.img_path)
+        geo.horizon_flip()
+        self.showImg("saved Img/horizon.bmp")
+
+    # 图像垂直翻折槽函数
+    def vertical(self):
+        geo = GeoChange(self.img_path)
+        geo.vertical_flip()
+        self.showImg("saved Img/vertical.bmp")
+
+    # 仿射变换槽函数
+    def affine(self):
+        geo = GeoChange(self.img_path)
+        geo.affine()
+        self.showImg("saved Img/affine.bmp")
+
+    # 下面开始对数字图像的直方图进行绘制，histGrey为绘制灰度直方图的槽函数
+    def histGrey(self):
+        hist = Histogram(self.img_path)
+        hist.histGrey()
+        self.showImg(self.img_path)
+
+    # 彩色直方图绘制
+    def histRGB(self):
+        hist = Histogram(self.img_path)
+        hist.histRGB()
+        self.showImg(self.img_path)
+
+    # 绘制直方图
+    def histD(self):
+        hist = Histogram(self.img_path)
+        hist.hist()
+        self.showImg(self.img_path)
+
+    # 修改灰度直方图
+    def editHist(self):
+        hist = Histogram(self.img_path)
+        hist.editHist()
+        self.showImg(self.img_path)
+
+    # 以下是使用opencv实现线条变化检测的函数
+    def houghLines(self):
+        hough = Hough(self.img_path)
+        hough.line_change_detection()
+        self.showImg("saved Img/result.bmp")
+
+    # 使用Hough P实现线条变化检测
+    def houghLinesP(self):
+        hough = Hough(self.img_path)
+        hough.line_change_detection_P()
+        self.showImg('saved Img/result_p.bmp')
+
+    # 图像边缘检测部分
+    def basic_of_edge_detection(self):
+        edge = edgeDetect(self.img_path)
+        edge.graphicsEnhance()
+        self.showImg('saved Img/sharp.bmp')
+
+    # Roberts算子
+    def roberts(self):
+        edge = edgeDetect(self.img_path)
+        edge.roberts()
+        self.showImg("saved Img/roberts.bmp")
+
+    # Prewitt & sobel
+    def sobel(self):
+        edge = edgeDetect(self.img_path)
+        edge.sobel()
+        self.showImg("saved Img/sobel.bmp")
+
+    # laplacian
+    def laplacian(self):
+        edge = edgeDetect(self.img_path)
+        edge.laplacian()
+        self.showImg("saved Img/laplacian.bmp")
+
+    # LoG
+    def LoG(self):
+        edge = edgeDetect(self.img_path)
+        edge.LoG()
+        self.showImg("saved Img/log.bmp")
+
+    # canny
+    def canny(self):
+        edge = edgeDetect(self.img_path)
+        edge.canny()
+        self.showImg("saved Img/canny.bmp")
+
+    # 以下为图像形态学
+    # 腐蚀
+    def corrode(self):
+        struct_size, _ = QInputDialog.getText(self, "结构元大小", "请输入结构元大小，大小应为实数", QLineEdit.Normal, "5")
+        try:
+            morph = morphology(self.img_path)
+            morph.corrode(struct_size)
+            self.showImg("saved Img/erosion.bmp")
+        except Exception as error:
+            QMessageBox.about(self.window(), "提示", f"{error}\n输入有误！请检查输入格式与内容。")
+
+    # 膨胀
+    def dilation(self):
+        struct_size, _ = QInputDialog.getText(self, "结构元大小", "请输入结构元大小，大小应为实数", QLineEdit.Normal, "5")
+        try:
+            morph = morphology(self.img_path)
+            morph.dilation(struct_size)
+            self.showImg("saved Img/dilate.bmp")
+        except Exception as error:
+            QMessageBox.about(self.window(), "提示", f"{error}\n输入有误！请检查输入格式与内容。")
+
+    # 开运算
+    def open(self):
+        struct_size, _ = QInputDialog.getText(self, "结构元大小", "请输入结构元大小，大小应为实数", QLineEdit.Normal, "5")
+        try:
+            morph = morphology(self.img_path)
+            morph.open(struct_size)
+            self.showImg("saved Img/open.bmp")
+        except Exception as error:
+            QMessageBox.about(self.window(), "提示", f"{error}\n输入有误！请检查输入格式与内容。")
+
+    # 闭运算
+    def close(self):
+        struct_size, _ = QInputDialog.getText(self, "结构元大小", "请输入结构元大小，大小应为实数", QLineEdit.Normal, "5")
+        try:
+            morph = morphology(self.img_path)
+            morph.close(struct_size)
+            self.showImg("saved Img/close.bmp")
+        except Exception as error:
+            QMessageBox.about(self.window(), "提示", f"{error}\n输入有误！请检查输入格式与内容。")
+
+    # 接下来的部分是图像噪声处理
+    # describe是噪声描述器的槽函数
+    def describe(self):
+        noise = noiseCanceller(self.img_path)
+        noise.noiseDescriber()
+        self.showImg("saved Img/out.bmp")
+
+    # mean filter是均值滤波器的槽函数
+    def meanFilter(self):
+        noise = noiseCanceller(self.img_path)
+        noise.meanFilter()
+        self.showImg("saved Img/mean filter.bmp")
+
+    # 排序类滤波器的槽函数
+    def sortFilter(self):
+        noise = noiseCanceller(self.img_path)
+        noise.sortFilter()
+        self.showImg("saved Img/sort filter.bmp")
+
+    # 选择性滤波器槽函数
+    def selectiveFilter(self):
+        noise = noiseCanceller(self.img_path)
+        noise.selectiveFilter()
+        self.showImg("saved Img/selective filter.bmp")
+
+    # 以下为图像空域的平滑
+    # 均值
+    def avg_blur(self):
+        ksize, _ = QInputDialog.getText(self, "滤波核大小", "请输入滤波核的大小", QLineEdit.Normal, "3")
+        try:
+            blur = spatial(self.img_path)
+            blur.average_blur(ksize)
+            self.showImg("saved Img/avg_blur.bmp")
+        except Exception as error:
+            QMessageBox.about(self.window(), "提示", f"{error}\n输入有误！请检查输入格式与内容。")
+
+    def mid_blur(self):
+        ksize, _ = QInputDialog.getText(self, "滤波核大小", "请输入滤波核的大小", QLineEdit.Normal, "3")
+        try:
+            blur = spatial(self.img_path)
+            blur.mid_blur(ksize)
+            self.showImg("saved Img/mid_blur.bmp")
+        except Exception as error:
+            QMessageBox.about(self.window(), "提示", f"{error}\n输入有误！请检查输入格式与内容。")
+
+    def low_pass(self):
+        fre = frequency_filter(self.img_path)
+        fre.Ideal_low_pass_filtering_smooth()
+        self.showImg("saved Img/ideal_low_pass.bmp")
+
+    def butterworth(self):
+        D0, _ = QInputDialog.getText(self, "截止频率", "请输入截止频率", QLineEdit.Normal, "20")
+        n, _ = QInputDialog.getText(self, "阶数", "请输入阶数", QLineEdit.Normal, "2")
+        try:
+            fre = frequency_filter(self.img_path)
+            fre.butterworth(D0, n)
+            self.showImg("saved Img/butterworth.bmp")
+        except Exception as error:
+            QMessageBox.about(self.window(), "提示", f"{error}\n输入有误！请检查输入格式与内容。")
+
+    def gauss(self):
+        D0, _ = QInputDialog.getText(self, "截止频率", "请输入截止频率", QLineEdit.Normal, "20")
+        try:
+            fre = frequency_filter(self.img_path)
+            fre.gauss(D0)
+            self.showImg("saved Img/gauss.bmp")
+        except Exception as error:
+            QMessageBox.about(self.window(), "提示", f"{error}\n输入有误！请检查输入格式与内容。")
+
+
+if __name__ == '__main__':
+    app = QtWidgets.QApplication(sys.argv)
+    now_Status = run()
+    now_Status.show()
+    sys.exit(app.exec_())
--- a/morphology.py
+++ b/morphology.py
@ -0,0 +1,34 @@
+import cv2
+
+
+class morphology:
+    def __init__(self, img_path):
+        self.path = img_path
+
+    def corrode(self, struct_size):
+        struct_size = int(struct_size)
+        src = cv2.imread(self.path, cv2.IMREAD_UNCHANGED)
+        kernel = cv2.getStructuringElement(cv2.MORPH_CROSS, (struct_size, struct_size))
+        erosion = cv2.erode(src, kernel)
+        cv2.imwrite("saved Img/erosion.bmp", erosion)
+
+    def dilation(self, struct_size):
+        struct_size = int(struct_size)
+        src = cv2.imread(self.path, cv2.IMREAD_UNCHANGED)
+        kernel = cv2.getStructuringElement(cv2.MORPH_CROSS, (struct_size, struct_size))
+        dilation = cv2.dilate(src, kernel)
+        cv2.imwrite("saved Img/dilate.bmp", dilation)
+
+    def open(self, struct_size):
+        struct_size = int(struct_size)
+        src = cv2.imread(self.path, cv2.IMREAD_UNCHANGED)
+        kernel = cv2.getStructuringElement(cv2.MORPH_CROSS, (struct_size, struct_size))
+        open = cv2.morphologyEx(src, cv2.MORPH_OPEN, kernel)
+        cv2.imwrite("saved Img/open.bmp", open)
+
+    def close(self, struct_size):
+        struct_size = int(struct_size)
+        src = cv2.imread(self.path, cv2.IMREAD_UNCHANGED)
+        kernel = cv2.getStructuringElement(cv2.MORPH_CROSS, (struct_size, struct_size))
+        close = cv2.morphologyEx(src, cv2.MORPH_CLOSE, kernel)
+        cv2.imwrite("saved Img/close.bmp", close)
--- a/Img/123.png
+++ b/Img/123.png
--- a/Img/20220712152435.jpg
+++ b/Img/20220712152435.jpg
--- a/Img/a.png
+++ b/Img/a.png
--- a/Img/edu.png
+++ b/Img/edu.png
--- a/Img/ex_1.jpg
+++ b/Img/ex_1.jpg
--- a/Img/image
+++ b/Img/image
--- a/Img/image
+++ b/Img/image
--- a/Img/image
+++ b/Img/image
--- a/Img/image
+++ b/Img/image
--- a/Img/image
+++ b/Img/image
--- a/Img/image
+++ b/Img/image
--- a/Img/image
+++ b/Img/image
--- a/Img/image.bmp
+++ b/Img/image.bmp
--- a/Img/test.png
+++ b/Img/test.png
--- a/Img/zao.png
+++ b/Img/zao.png
--- a/Img/zero.bmp
+++ b/Img/zero.bmp
--- a/Img/zero1.bmp
+++ b/Img/zero1.bmp
--- a/信号.txt
+++ b/信号.txt
@ -0,0 +1,39 @@
+self.pushButton.clicked.connect(DigitalImageProcessing.openImg)
+        self.actionyu.triggered.connect(DigitalImageProcessing.alAnd)
+        self.actionhuo.triggered.connect(DigitalImageProcessing.alOr)
+        self.actionfei.triggered.connect(DigitalImageProcessing.alNegation)
+        self.actionjiafa.triggered.connect(DigitalImageProcessing.alAdd)
+        self.actionjianfa.triggered.connect(DigitalImageProcessing.alSubtract)
+        self.actionchengfa.triggered.connect(DigitalImageProcessing.alMulty)
+        self.actionchufa.triggered.connect(DigitalImageProcessing.alDivide)
+        self.actiontuxiangfanzhuan.triggered.connect(DigitalImageProcessing.horizonal)
+        self.actionchuizhifanzhuan.triggered.connect(DigitalImageProcessing.vertical)
+        self.actiontuxiangpingyi.triggered.connect(DigitalImageProcessing.moveImg)
+        self.actiontuxiangxuanzhuan.triggered.connect(DigitalImageProcessing.rotation)
+        self.actionkuozhansuofang.triggered.connect(DigitalImageProcessing.extend)
+        self.actionfangshebianhuan.triggered.connect(DigitalImageProcessing.affine)
+        self.actionhuiduzhifangtu.triggered.connect(DigitalImageProcessing.histGrey)
+        self.actioncaisezhifangtu.triggered.connect(DigitalImageProcessing.histRGB)
+        self.actionhuizhizhifangtu.triggered.connect(DigitalImageProcessing.histD)
+        self.actionfenduanxianxingbianhuanduizhifangtuxiugai.triggered.connect(DigitalImageProcessing.editHist)
+        self.actionHough.triggered.connect(DigitalImageProcessing.houghLines)
+        self.actionHoughP.triggered.connect(DigitalImageProcessing.houghLinesP)
+        self.actionbianyuanjiancedejibenyuanli.triggered.connect(DigitalImageProcessing.basic_of_edge_detection)
+        self.actionRoberts.triggered.connect(DigitalImageProcessing.roberts)
+        self.actionPrewitt_Sobel.triggered.connect(DigitalImageProcessing.sobel)
+        self.actionLaplacian.triggered.connect(DigitalImageProcessing.laplacian)
+        self.actionLoG.triggered.connect(DigitalImageProcessing.LoG)
+        self.actionCanny.triggered.connect(DigitalImageProcessing.canny)
+        self.actionfushi.triggered.connect(DigitalImageProcessing.corrode)
+        self.actionpengzhang.triggered.connect(DigitalImageProcessing.dilation)
+        self.actionkaiyunsuan.triggered.connect(DigitalImageProcessing.open)
+        self.actionbiyunsuan.triggered.connect(DigitalImageProcessing.close)
+        self.actionzao_sheng_miaoshuqi.triggered.connect(DigitalImageProcessing.describe)
+        self.actionjunzhileilvboqi.triggered.connect(DigitalImageProcessing.meanFilter)
+        self.actionpaixutongjileilvboqi.triggered.connect(DigitalImageProcessing.sortFilter)
+        self.actionxuanzexinglvboqi.triggered.connect(DigitalImageProcessing.selectiveFilter)
+        self.actionlingyupingjunfa.triggered.connect(DigitalImageProcessing.avg_blur)
+        self.actionzhongzhilvbo.triggered.connect(DigitalImageProcessing.mid_blur)
+        self.actionlixiang.triggered.connect(DigitalImageProcessing.low_pass)
+        self.actionButterworth.triggered.connect(DigitalImageProcessing.butterworth)
+        self.actionGauss.triggered.connect(DigitalImageProcessing.gauss)
--- a/数字图像处理大类.txt
+++ b/数字图像处理大类.txt
@ -0,0 +1,46 @@
+一、数字图像的计算处理：
+1. 与运算
+2. 或运算
+3. 非运算
+4. 加法运算
+5. 减法运算
+6. 乘法运算
+7. 除法运算
+
+二、数字图像的几何变换：
+1. 图形扩展缩放
+2. 图形平移
+3. 图形旋转
+4. 图形翻转
+5. 仿射变换
+
+三、数字图像直方图
+1. 灰度直方图计算
+2. 彩色直方图计算
+3. 绘制直方图
+4. 分段线性变换对直方图修改
+
+四、使用Hough变换实现线条变化检测
+
+五、边缘检测
+1. 边缘检测的基本原理与图像增强
+2. Roberts算子
+3. Prewitt算子与Sobel算子
+4. Laplacian算子
+5. LoG边缘算子
+6. Canny边缘检测
+
+六、数字图像形态学
+1. 图像形态学操作
+2. 结构元
+3. 结构元的分类
+4. 腐蚀
+5. 膨胀
+6. 开运算
+7. 闭运算
+
+七、噪声滤除
+1. 噪声描述器
+2. 均值类滤波器
+3. 排序统计类滤波器
+4. 选择性滤波器