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331 lines
9.6 KiB
331 lines
9.6 KiB
import tkinter as tk
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from tkinter import filedialog, messagebox
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from tkinter import Toplevel
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from PIL import Image, ImageTk
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import numpy as np
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import cv2
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import os
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# 全局变量初始化
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img_path = "" # 用于存储图像路径
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src = None # 用于存储已选择的图像
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img_label = None # 用于存储显示选择的图片的标签
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edge = None # 用于存储处理后的图像以便保存
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# 用于存储不同窗口的全局变量
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CorrodeWin = None
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DilaWin = None
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OpenWin = None
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CloseWin = None
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def select_image(root):
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"""
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选择并显示图像
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"""
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global img_path, src, img_label
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# 打开文件选择对话框
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img_path = filedialog.askopenfilename(filetypes=[("Image files", "*.jpg;*.png;*.jpeg;*.bmp")])
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if img_path:
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# 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
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img_path_fixed = os.path.normpath(img_path)
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# 读取图像并进行颜色空间转换
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src_temp = cv2.imdecode(np.fromfile(img_path_fixed, dtype=np.uint8), cv2.IMREAD_UNCHANGED)
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if src_temp is None:
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messagebox.showerror("错误", "无法读取图片，请选择有效的图片路径")
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return
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src = cv2.cvtColor(src_temp, cv2.COLOR_BGR2RGB)
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# 显示图像
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if img_label is None or not img_label.winfo_exists():
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img_label = tk.Label(root)
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img_label.pack(side=tk.TOP, pady=10)
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img = Image.open(img_path)
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img.thumbnail((160, 160))
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img_tk = ImageTk.PhotoImage(img)
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img_label.configure(image=img_tk)
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img_label.image = img_tk
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else:
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messagebox.showerror("错误", "没有选择图片路径")
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def changeSize(event, img, LabelPic):
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"""
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根据窗口大小调整图像大小
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"""
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img_aspect = img.shape[1] / img.shape[0]
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new_aspect = event.width / event.height
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if new_aspect > img_aspect:
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new_width = int(event.height * img_aspect)
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new_height = event.height
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else:
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new_width = event.width
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new_height = int(event.width / img_aspect)
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resized_image = cv2.resize(img, (new_width, new_height))
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image1 = ImageTk.PhotoImage(Image.fromarray(resized_image))
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LabelPic.image = image1
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LabelPic['image'] = image1
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def savefile():
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"""
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保存处理后的图像
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"""
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global edge
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filename = filedialog.asksaveasfilename(defaultextension=".jpg", filetypes=[("JPEG files", "*.jpg"), ("PNG files", "*.png"), ("BMP files", "*.bmp")])
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if not filename:
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return
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if edge is not None:
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try:
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edge.save(filename)
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messagebox.showinfo("保存成功", "图片保存成功！")
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except Exception as e:
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messagebox.showerror("保存失败", f"无法保存图片: {e}")
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else:
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messagebox.showerror("保存失败", "没有图像可保存")
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# 腐蚀
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def corrode(root):
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"""
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腐蚀操作
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"""
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global src, CorrodeWin, edge
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# 判断是否已经选取图片
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if src is None:
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messagebox.showerror("错误", "没有选择图片！")
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return
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# 定义结构元素(该处使用矩形3*3结构)
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kernel = cv2.getStructuringElement(cv2.MORPH_RECT, (3, 3), anchor=None)
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# 腐蚀图像
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eroded = cv2.erode(src, kernel)
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# 更新 edge 变量
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edge = Image.fromarray(eroded)
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# 创建 Toplevel 窗口
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try:
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CorrodeWin.destroy()
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except Exception:
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print("NVM")
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finally:
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CorrodeWin = Toplevel(root)
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CorrodeWin.attributes('-topmost', True)
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CorrodeWin.geometry("360x300")
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CorrodeWin.resizable(True, True) # 可缩放
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CorrodeWin.title("腐蚀结果")
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# 显示图像
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LabelPic = tk.Label(CorrodeWin, text="IMG", width=360, height=240)
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image = ImageTk.PhotoImage(Image.fromarray(eroded))
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LabelPic.image = image
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LabelPic['image'] = image
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LabelPic.bind('<Configure>', lambda event: changeSize(event, eroded, LabelPic))
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LabelPic.pack(fill=tk.BOTH, expand=tk.YES)
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# 添加保存按钮
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btn_save = tk.Button(CorrodeWin, text="保存", bg='#add8e6', fg='black', font=('Helvetica', 14), width=20, command=savefile)
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btn_save.pack(pady=10)
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return
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# 膨胀
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def dilatation(root):
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"""
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膨胀操作
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"""
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global src, DilaWin, edge
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# 判断是否已经选取图片
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if src is None:
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messagebox.showerror("错误", "没有选择图片！")
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return
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# 定义结构元素(该处使用矩形3*3结构)
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kernel = cv2.getStructuringElement(cv2.MORPH_RECT, (3, 3), anchor=None)
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# 膨胀图像
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dilated = cv2.dilate(src, kernel)
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# 更新 edge 变量
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edge = Image.fromarray(dilated)
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# 创建 Toplevel 窗口
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try:
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DilaWin.destroy()
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except Exception:
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print("NVM")
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finally:
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DilaWin = Toplevel(root)
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DilaWin.attributes('-topmost', True)
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DilaWin.geometry("360x300")
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DilaWin.resizable(True, True) # 可缩放
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DilaWin.title("膨胀结果")
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# 显示图像
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LabelPic = tk.Label(DilaWin, text="IMG", width=360, height=240)
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image = ImageTk.PhotoImage(Image.fromarray(dilated))
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LabelPic.image = image
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LabelPic['image'] = image
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LabelPic.bind('<Configure>', lambda event: changeSize(event, dilated, LabelPic))
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LabelPic.pack(fill=tk.BOTH, expand=tk.YES)
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# 添加保存按钮
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btn_save = tk.Button(DilaWin, text="保存", bg='#add8e6', fg='black', font=('Helvetica', 14), width=20, command=savefile)
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btn_save.pack(pady=10)
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return
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# 开运算
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def open_op(root):
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"""
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开运算操作
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"""
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global src, OpenWin, edge
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# 判断是否已经选取图片
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if src is None:
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messagebox.showerror("错误", "没有选择图片！")
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return
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# 交叉结构元
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kernel = cv2.getStructuringElement(cv2.MORPH_CROSS, (5, 5))
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# 进行开运算
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open_result = cv2.morphologyEx(src, cv2.MORPH_OPEN, kernel)
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# 更新 edge 变量
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edge = Image.fromarray(open_result)
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# 创建 Toplevel 窗口
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try:
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OpenWin.destroy()
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except Exception:
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print("NVM")
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finally:
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OpenWin = Toplevel(root)
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OpenWin.attributes('-topmost', True)
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OpenWin.geometry("360x300")
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OpenWin.resizable(True, True) # 可缩放
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OpenWin.title("开运算结果")
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# 显示图像
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LabelPic = tk.Label(OpenWin, text="IMG", width=360, height=240)
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image = ImageTk.PhotoImage(Image.fromarray(open_result))
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LabelPic.image = image
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LabelPic['image'] = image
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LabelPic.bind('<Configure>', lambda event: changeSize(event, open_result, LabelPic))
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LabelPic.pack(fill=tk.BOTH, expand=tk.YES)
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# 添加保存按钮
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btn_save = tk.Button(OpenWin, text="保存", bg='#add8e6', fg='black', font=('Helvetica', 14), width=20, command=savefile)
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btn_save.pack(pady=10)
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return
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# 闭运算
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def close_op(root):
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"""
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闭运算操作
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"""
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global src, CloseWin, edge
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# 判断是否已经选取图片
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if src is None:
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messagebox.showerror("错误", "没有选择图片！")
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return
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# 交叉结构元
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kernel = cv2.getStructuringElement(cv2.MORPH_CROSS, (10, 10))
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# 进行闭运算
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close_result = cv2.morphologyEx(src, cv2.MORPH_CLOSE, kernel)
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# 更新 edge 变量
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edge = Image.fromarray(close_result)
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# 创建 Toplevel 窗口
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try:
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CloseWin.destroy()
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except Exception:
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print("NVM")
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finally:
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CloseWin = Toplevel(root)
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CloseWin.attributes('-topmost', True)
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CloseWin.geometry("360x300")
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CloseWin.resizable(True, True) # 可缩放
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CloseWin.title("闭运算结果")
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# 显示图像
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LabelPic = tk.Label(CloseWin, text="IMG", width=360, height=240)
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image = ImageTk.PhotoImage(Image.fromarray(close_result))
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LabelPic.image = image
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LabelPic['image'] = image
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LabelPic.bind('<Configure>', lambda event: changeSize(event, close_result, LabelPic))
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LabelPic.pack(fill=tk.BOTH, expand=tk.YES)
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# 添加保存按钮
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btn_save = tk.Button(CloseWin, text="保存", bg='#add8e6', fg='black', font=('Helvetica', 14), width=20, command=savefile)
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btn_save.pack(pady=10)
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return
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# 边缘检测
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def edge_detection(root):
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"""
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边缘检测操作
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"""
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global src, EdgeWin, edge
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# 判断是否已经选取图片
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if src is None:
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messagebox.showerror("错误", "没有选择图片！")
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return
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# 使用 Sobel 算子进行边缘检测
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sobelx = cv2.Sobel(cv2.cvtColor(src, cv2.COLOR_RGB2GRAY), cv2.CV_64F, 1, 0, ksize=5)
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sobely = cv2.Sobel(cv2.cvtColor(src, cv2.COLOR_RGB2GRAY), cv2.CV_64F, 0, 1, ksize=5)
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abs_sobelx = np.absolute(sobelx)
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abs_sobely = np.absolute(sobely)
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sobel_combined = cv2.bitwise_or(np.uint8(abs_sobelx), np.uint8(abs_sobely))
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sobel_combined = cv2.cvtColor(sobel_combined, cv2.COLOR_GRAY2RGB)
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# 更新 edge 变量
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edge = Image.fromarray(sobel_combined)
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# 创建 Toplevel 窗口
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try:
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EdgeWin.destroy()
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except Exception:
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print("NVM")
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finally:
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EdgeWin = Toplevel(root)
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EdgeWin.attributes('-topmost', True)
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EdgeWin.geometry("360x300")
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EdgeWin.resizable(True, True) # 可缩放
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EdgeWin.title("边缘检测结果")
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# 显示图像
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LabelPic = tk.Label(EdgeWin, text="IMG", width=360, height=240)
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image = ImageTk.PhotoImage(Image.fromarray(sobel_combined))
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LabelPic.image = image
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LabelPic['image'] = image
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LabelPic.bind('<Configure>', lambda event: changeSize(event, sobel_combined, LabelPic))
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LabelPic.pack(fill=tk.BOTH, expand=tk.YES)
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# 添加保存按钮
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btn_save = tk.Button(EdgeWin, text="保存", bg='#add8e6', fg='black', font=('Helvetica', 14), width=20, command=savefile)
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btn_save.pack(pady=10)
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return
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