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 # 全局变量初始化 img_path = "" # 用于存储图像路径 src = None # 用于存储已选择的图像 img_label = None # 用于存储显示选择的图片的标签 edge = None # 用于存储处理后的图像以便保存 # 用于存储不同窗口的全局变量 CorrodeWin = None DilaWin = None OpenWin = None CloseWin = None def select_image(root): """ 选择并显示图像 """ global img_path, src, img_label # 打开文件选择对话框 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) # 读取图像并进行颜色空间转换 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) # 显示图像 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 else: messagebox.showerror("错误", "没有选择图片路径") def changeSize(event, img, LabelPic): """ 根据窗口大小调整图像大小 """ 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(): """ 保存处理后的图像 """ global edge filename = filedialog.asksaveasfilename(defaultextension=".jpg", filetypes=[("JPEG files", "*.jpg"), ("PNG files", "*.png"), ("BMP files", "*.bmp")]) if not filename: return 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") # 腐蚀 def corrode(root): """ 腐蚀操作 """ global src, CorrodeWin, 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 # 定义结构元素(该处使用矩形3*3结构) kernel = cv2.getStructuringElement(cv2.MORPH_RECT, (3, 3), anchor=None) # 腐蚀图像 eroded = cv2.erode(src, kernel) # 更新 edge 变量 edge = Image.fromarray(eroded) # 创建 Toplevel 窗口 try: CorrodeWin.destroy() except Exception: print("NVM") finally: CorrodeWin = Toplevel(root) CorrodeWin.attributes('-topmost', True) CorrodeWin.geometry("360x300") CorrodeWin.resizable(True, True) # 可缩放 CorrodeWin.title("腐蚀结果") # 显示图像 LabelPic = tk.Label(CorrodeWin, text="IMG", width=360, height=240) image = ImageTk.PhotoImage(Image.fromarray(eroded)) LabelPic.image = image LabelPic['image'] = image LabelPic.bind('', lambda event: changeSize(event, eroded, LabelPic)) LabelPic.pack(fill=tk.BOTH, expand=tk.YES) # 添加保存按钮 btn_save = tk.Button(CorrodeWin, text="保存", bg='#add8e6', fg='black', font=('Helvetica', 14), width=20, command=savefile) btn_save.pack(pady=10) return # 膨胀 def dilatation(root): """ 膨胀操作 """ global src, DilaWin, 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 # 定义结构元素(该处使用矩形3*3结构) kernel = cv2.getStructuringElement(cv2.MORPH_RECT, (3, 3), anchor=None) # 膨胀图像 dilated = cv2.dilate(src, kernel) # 更新 edge 变量 edge = Image.fromarray(dilated) # 创建 Toplevel 窗口 try: DilaWin.destroy() except Exception: print("NVM") finally: DilaWin = Toplevel(root) DilaWin.attributes('-topmost', True) DilaWin.geometry("360x300") DilaWin.resizable(True, True) # 可缩放 DilaWin.title("膨胀结果") # 显示图像 LabelPic = tk.Label(DilaWin, text="IMG", width=360, height=240) image = ImageTk.PhotoImage(Image.fromarray(dilated)) LabelPic.image = image LabelPic['image'] = image LabelPic.bind('', lambda event: changeSize(event, dilated, LabelPic)) LabelPic.pack(fill=tk.BOTH, expand=tk.YES) # 添加保存按钮 btn_save = tk.Button(DilaWin, text="保存", bg='#add8e6', fg='black', font=('Helvetica', 14), width=20, command=savefile) btn_save.pack(pady=10) return # 开运算 def open_op(root): """ 开运算操作 """ global src, OpenWin, 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 # 交叉结构元 kernel = cv2.getStructuringElement(cv2.MORPH_CROSS, (5, 5)) # 进行开运算 open_result = cv2.morphologyEx(src, cv2.MORPH_OPEN, kernel) # 更新 edge 变量 edge = Image.fromarray(open_result) # 创建 Toplevel 窗口 try: OpenWin.destroy() except Exception: print("NVM") finally: OpenWin = Toplevel(root) OpenWin.attributes('-topmost', True) OpenWin.geometry("360x300") OpenWin.resizable(True, True) # 可缩放 OpenWin.title("开运算结果") # 显示图像 LabelPic = tk.Label(OpenWin, text="IMG", width=360, height=240) image = ImageTk.PhotoImage(Image.fromarray(open_result)) LabelPic.image = image LabelPic['image'] = image LabelPic.bind('', lambda event: changeSize(event, open_result, LabelPic)) LabelPic.pack(fill=tk.BOTH, expand=tk.YES) # 添加保存按钮 btn_save = tk.Button(OpenWin, text="保存", bg='#add8e6', fg='black', font=('Helvetica', 14), width=20, command=savefile) btn_save.pack(pady=10) return # 闭运算 def close_op(root): """ 闭运算操作 """ global src, CloseWin, 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 # 交叉结构元 kernel = cv2.getStructuringElement(cv2.MORPH_CROSS, (10, 10)) # 进行闭运算 close_result = cv2.morphologyEx(src, cv2.MORPH_CLOSE, kernel) # 更新 edge 变量 edge = Image.fromarray(close_result) # 创建 Toplevel 窗口 try: CloseWin.destroy() except Exception: print("NVM") finally: CloseWin = Toplevel(root) CloseWin.attributes('-topmost', True) CloseWin.geometry("360x300") CloseWin.resizable(True, True) # 可缩放 CloseWin.title("闭运算结果") # 显示图像 LabelPic = tk.Label(CloseWin, text="IMG", width=360, height=240) image = ImageTk.PhotoImage(Image.fromarray(close_result)) LabelPic.image = image LabelPic['image'] = image LabelPic.bind('', lambda event: changeSize(event, close_result, LabelPic)) LabelPic.pack(fill=tk.BOTH, expand=tk.YES) # 添加保存按钮 btn_save = tk.Button(CloseWin, 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 edge_detection(root): """ 边缘检测操作 """ global src, EdgeWin, 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 # 使用 Sobel 算子进行边缘检测 sobelx = cv2.Sobel(cv2.cvtColor(src, cv2.COLOR_RGB2GRAY), cv2.CV_64F, 1, 0, ksize=5) sobely = cv2.Sobel(cv2.cvtColor(src, cv2.COLOR_RGB2GRAY), cv2.CV_64F, 0, 1, ksize=5) abs_sobelx = np.absolute(sobelx) abs_sobely = np.absolute(sobely) sobel_combined = cv2.bitwise_or(np.uint8(abs_sobelx), np.uint8(abs_sobely)) sobel_combined = cv2.cvtColor(sobel_combined, cv2.COLOR_GRAY2RGB) # 更新 edge 变量 edge = Image.fromarray(sobel_combined) # 创建 Toplevel 窗口 try: EdgeWin.destroy() except Exception: print("NVM") finally: EdgeWin = Toplevel(root) EdgeWin.attributes('-topmost', True) EdgeWin.geometry("360x300") EdgeWin.resizable(True, True) # 可缩放 EdgeWin.title("边缘检测结果") # 显示图像 LabelPic = tk.Label(EdgeWin, text="IMG", width=360, height=240) image = ImageTk.PhotoImage(Image.fromarray(sobel_combined)) LabelPic.image = image LabelPic['image'] = image LabelPic.bind('', lambda event: changeSize(event, sobel_combined, LabelPic)) LabelPic.pack(fill=tk.BOTH, expand=tk.YES) # 添加保存按钮 btn_save = tk.Button(EdgeWin, text="保存", bg='#add8e6', fg='black', font=('Helvetica', 14), width=20, command=savefile) btn_save.pack(pady=10) return