Delete 'basic/image_split.py'

5 months ago · 9c48fa451d
parent d49f72a157
commit 9c48fa451d
1 changed files with 0 additions and 319 deletions
--- a/basic/image_split.py
+++ b/basic/image_split.py
@ -1,319 +0,0 @@
-import tkinter as tk
-from tkinter import filedialog, messagebox
-from tkinter import Toplevel
-from PIL import Image, ImageTk
-import numpy as np
-import cv2
-import os
-
-img_path = ""  # 全局变量，用于存储图像路径
-src = None  # 全局变量，用于存储已选择的图像
-X = None  # 用于存储第一张图像
-Y = None  # 用于存储第二张图像
-img_label = None  # 全局变量，用于存储显示选择的图片的标签
-edge = None
-
-ThreWin = None
-VergeWin = None
-LineWin = None
-
-def select_image(root):
-    global img_path, src, img_label, edge
-
-    img_path = filedialog.askopenfilename(filetypes=[("Image files", "*.jpg;*.png;*.jpeg;*.bmp")])
-    if img_path:
-        # 确保路径中的反斜杠正确处理，并使用 UTF-8 编码处理中文路径
-        img_path_fixed = os.path.normpath(img_path)
-
-        # 图像输入
-        src_temp = cv2.imdecode(np.fromfile(img_path_fixed, dtype=np.uint8), cv2.IMREAD_UNCHANGED)
-        if src_temp is None:
-            messagebox.showerror("错误", "无法读取图片，请选择有效的图片路径")
-            return
-        src = cv2.cvtColor(src_temp, cv2.COLOR_BGR2RGB)
-
-        # 检查 img_label 是否存在且有效
-        if img_label is None or not img_label.winfo_exists():
-            img_label = tk.Label(root)
-            img_label.pack(side=tk.TOP, pady=10)
-
-        img = Image.open(img_path)
-        img.thumbnail((160, 160))
-        img_tk = ImageTk.PhotoImage(img)
-        img_label.configure(image=img_tk)
-        img_label.image = img_tk
-
-        # 定义 edge 变量为 PIL.Image 对象，以便稍后保存
-        edge = Image.fromarray(src)
-    else:
-        messagebox.showerror("错误", "没有选择图片路径")
-
-def show_selected_image(root):
-    global img_label
-    img_label = tk.Label(root)
-    img_label.pack(side=tk.TOP, pady=10)
-    img = Image.open(img_path)
-    img.thumbnail((160, 160))
-    img_tk = ImageTk.PhotoImage(img)
-    img_label.configure(image=img_tk)
-    img_label.image = img_tk
-
-def changeSize(event, img, LabelPic):
-    img_aspect = img.shape[1] / img.shape[0]
-    new_aspect = event.width / event.height
-
-    if new_aspect > img_aspect:
-        new_width = int(event.height * img_aspect)
-        new_height = event.height
-    else:
-        new_width = event.width
-        new_height = int(event.width / img_aspect)
-
-    resized_image = cv2.resize(img, (new_width, new_height))
-    image1 = ImageTk.PhotoImage(Image.fromarray(resized_image))
-    LabelPic.image = image1
-    LabelPic['image'] = image1
-
-def savefile():
-    global edge
-
-    filename = filedialog.asksaveasfilename(defaultextension=".jpg", filetypes=[("JPEG files", "*.jpg"), ("PNG files", "*.png"), ("BMP files", "*.bmp")])
-    if not filename:
-        return
-    # 确保 edge 变量已定义
-    if edge is not None:
-        try:
-            edge.save(filename)
-            messagebox.showinfo("保存成功", "图片保存成功！")
-        except Exception as e:
-            messagebox.showerror("保存失败", f"无法保存图片: {e}")
-    else:
-        messagebox.showerror("保存失败", "没有图像可保存")
-
-#阈值化
-def threshold(root):
-    global src, ThreWin, edge
-
-    # 判断是否已经选取图片
-    if src is None:
-        messagebox.showerror("错误", "没有选择图片！")
-        return
-
-    # 转变图像为灰度图
-    gray = cv2.cvtColor(src, cv2.COLOR_BGR2GRAY)
-
-    #TRIANGLE自适应阈值
-    ret, TRIANGLE_img = cv2.threshold(gray, 0, 255, cv2.THRESH_TRIANGLE)
-
-    #OTSU自适应阈值
-    ret, OTSU_img = cv2.threshold(gray, 0, 255, cv2.THRESH_OTSU)
-
-    #TRUNC截断阈值(200)
-    ret, TRUNC_img = cv2.threshold(gray, 200, 255, cv2.THRESH_TRUNC)
-
-    #TOZERO归零阈值(100)
-    ret, TOZERO__img = cv2.threshold(gray, 100, 255, cv2.THRESH_TOZERO)
-
-    combined = np.hstack((TRIANGLE_img, OTSU_img, TRUNC_img, TOZERO__img))
-    # 更新 edge 变量
-    edge = Image.fromarray(combined)
-
-    # 创建Toplevel窗口
-    try:
-        ThreWin.destroy()
-    except Exception as e:
-        print("NVM")
-    finally:
-        ThreWin = Toplevel()
-        ThreWin.attributes('-topmost', True)
-    ThreWin.geometry("720x300")
-    ThreWin.resizable(True, True)  # 可缩放
-    ThreWin.title("阈值化结果")
-
-    # 显示图像
-    LabelPic = tk.Label(ThreWin, text="IMG", width=720, height=240)
-    image = ImageTk.PhotoImage(Image.fromarray(combined))
-    LabelPic.image = image
-    LabelPic['image'] = image
-
-    LabelPic.bind('<Configure>', lambda event: changeSize(event, combined, LabelPic))
-    LabelPic.pack(fill=tk.BOTH, expand=tk.YES)
-
-    # 添加保存按钮
-    btn_save = tk.Button(ThreWin, text="保存", bg='#add8e6', fg='black', font=('Helvetica', 14), width=20,
-                         command=savefile)
-    btn_save.pack(pady=10)
-
-    return
-
-#边缘检测
-def verge(root):
-    global src, VergeWin, edge
-
-    # 判断是否已经选取图片
-    if src is None:
-        messagebox.showerror("错误", "没有选择图片！")
-        return
-
-    # 转变图像为灰度图
-    grayImage = cv2.cvtColor(src, cv2.COLOR_BGR2GRAY)
-
-    #1.Roberts算子
-    kernelx = np.array([[-1, 0], [0, 1]], dtype=int)
-    kernely = np.array([[0, -1], [1, 0]], dtype=int)
-    #卷积操作
-    x = cv2.filter2D(grayImage, cv2.CV_16S, kernelx)
-    y = cv2.filter2D(grayImage, cv2.CV_16S, kernely)
-    #数据格式转换
-    absX = cv2.convertScaleAbs(x)
-    absY = cv2.convertScaleAbs(y)
-    Roberts = cv2.addWeighted(absX, 0.5, absY, 0.5, 0)
-
-    #2.Sobel算子
-    x = cv2.Sobel(grayImage, cv2.CV_16S, 1, 0)
-    y = cv2.Sobel(grayImage, cv2.CV_16S, 0, 1)
-    #数据格式转换
-    absX = cv2.convertScaleAbs(x)
-    absY = cv2.convertScaleAbs(y)
-    #组合图像
-    Sobel = cv2.addWeighted(absX, 0.5, absY, 0.5, 0)
-
-    #3.拉普拉斯算法&高斯滤波
-    gray = cv2.GaussianBlur(grayImage, (5, 5), 0, 0)
-    dst = cv2.Laplacian(gray, cv2.CV_16S, ksize=3)
-    #数据格式转换
-    Laplacian = cv2.convertScaleAbs(dst)
-
-    #4.LoG边缘算子&边缘扩充&高斯滤波
-    gray = cv2.copyMakeBorder(grayImage, 2, 2, 2, 2, borderType=cv2.BORDER_REPLICATE)
-    image = cv2.GaussianBlur(gray, (3, 3), 0, 0)
-    #使用Numpy定义LoG算子
-    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]])
-    #卷积运算
-    rows = image.shape[0]
-    cols = image.shape[1]
-    image1 = np.zeros(image.shape)
-    # 为了使卷积对每个像素都进行运算，原图像的边缘像素要对准模板的中心。
-    # 由于图像边缘扩大了2像素，因此要从位置2到行(列)-2
-    for i in range(2, rows - 2):
-        for j in range(2, cols - 2):
-            image1[i, j] = np.sum((m1 * image[i - 2:i + 3, j - 2:j + 3]))
-
-    #数据格式转换
-    Log = cv2.convertScaleAbs(image1)
-
-    #5.Sobel算子
-    image = cv2.GaussianBlur(grayImage, (3, 3), 0)
-    #求x，y方向的Sobel算子
-    gradx = cv2.Sobel(image, cv2.CV_16SC1, 1, 0)
-    grady = cv2.Sobel(image, cv2.CV_16SC1, 0, 1)
-    #使用Canny函数处理图像，x,y分别是3求出来的梯度，低阈值50，高阈值150
-    edge_output = cv2.Canny(gradx, grady, 50, 150)
-
-    Roberts = cv2.resize(Roberts, (grayImage.shape[1], grayImage.shape[0]))
-    Sobel = cv2.resize(Sobel, (grayImage.shape[1], grayImage.shape[0]))
-    Laplacian = cv2.resize(Laplacian, (grayImage.shape[1], grayImage.shape[0]))
-    Log = cv2.resize(Log, (grayImage.shape[1], grayImage.shape[0]))
-    edge_output = cv2.resize(edge_output, (grayImage.shape[1], grayImage.shape[0]))
-
-    combined = np.hstack((Roberts, Sobel, Laplacian, Log, edge_output))
-
-    # 更新 edge 变量
-    edge = Image.fromarray(combined)
-
-    # 创建Toplevel窗口
-    try:
-        VergeWin.destroy()
-    except Exception as e:
-        print("NVM")
-    finally:
-        VergeWin = Toplevel()
-        VergeWin.attributes('-topmost', True)
-    VergeWin.geometry("720x300")
-    VergeWin.resizable(True, True)  # 可缩放
-    VergeWin.title("边缘检测结果")
-
-    # 显示图像
-    LabelPic = tk.Label(VergeWin, text="IMG", width=720, height=240)
-    image = ImageTk.PhotoImage(Image.fromarray(combined))
-    LabelPic.image = image
-    LabelPic['image'] = image
-
-    LabelPic.bind('<Configure>', lambda event: changeSize(event, combined, LabelPic))
-    LabelPic.pack(fill=tk.BOTH, expand=tk.YES)
-
-    # 添加保存按钮
-    btn_save = tk.Button(VergeWin, text="保存", bg='#add8e6', fg='black', font=('Helvetica', 14), width=20,
-                         command=savefile)
-    btn_save.pack(pady=10)
-    return
-
-#线条变化检测
-def line_chan(root):
-    global src, LineWin, edge
-
-    # 判断是否已经选取图片
-    if src is None:
-        messagebox.showerror("错误", "没有选择图片！")
-        return
-
-    img = cv2.GaussianBlur(src, (3, 3), 0)
-    edges = cv2.Canny(img, 50, 150, apertureSize=3)
-
-    # 使用HoughLines算法
-    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)
-
-    # 使用HoughLinesP算法
-    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)
-
-    combined = np.hstack((result, result_P))
-    combined = cv2.cvtColor(combined, cv2.COLOR_BGR2RGB)
-    # 更新 edge 变量
-    edge = Image.fromarray(result)
-
-    # 创建Toplevel窗口
-    try:
-        LineWin.destroy()
-    except Exception as e:
-        print("NVM")
-    finally:
-        LineWin = Toplevel()
-        LineWin.attributes('-topmost', True)
-    LineWin.geometry("720x300")
-    LineWin.resizable(True, True)  # 可缩放
-    LineWin.title("线条变化检测结果")
-
-    # 显示图像
-    LabelPic = tk.Label(LineWin, text="IMG", width=720, height=240)
-    image = ImageTk.PhotoImage(Image.fromarray(cv2.cvtColor(combined, cv2.COLOR_BGR2RGB)))
-    LabelPic.image = image
-    LabelPic['image'] = image
-
-    LabelPic.bind('<Configure>', lambda event: changeSize(event, combined, LabelPic))
-    LabelPic.pack(fill=tk.BOTH, expand=tk.YES)
-
-    # 添加保存按钮
-    btn_save = tk.Button(LineWin, text="保存", bg='#add8e6', fg='black', font=('Helvetica', 14), width=20,
-                         command=savefile)
-    btn_save.pack(pady=10)
-    return