From cd513762dc529b63e3d5a9f2206640e73a371981 Mon Sep 17 00:00:00 2001 From: pos97em56 <10225101485@ecnu.stu.edu.cn> Date: Wed, 3 Jul 2024 16:55:14 +0800 Subject: [PATCH] Delete 'basic/image_enhance.py' --- basic/image_enhance.py | 429 ----------------------------------------- 1 file changed, 429 deletions(-) delete mode 100644 basic/image_enhance.py diff --git a/basic/image_enhance.py b/basic/image_enhance.py deleted file mode 100644 index 30ad751..0000000 --- a/basic/image_enhance.py +++ /dev/null @@ -1,429 +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 - -GraylineWin = None -GraylogWin = None -EqualWin = None -RegulWin = 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") - -# 线性变换 -def line_tra(root): - global src, GraylineWin, 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 - - gray_src = cv2.cvtColor(src, cv2.COLOR_BGR2GRAY) - - a = 20 - b = 241 - c = 0 - d = 255 - - result = (d - c) / (b - a) * gray_src + (b * c - a * d) / (b - a) - - # 更新 edge 变量 - edge = Image.fromarray(result) - - # 创建 Toplevel 窗口 - try: - GraylineWin.destroy() - except Exception: - print("NVM") - finally: - GraylineWin = Toplevel() - GraylineWin.attributes('-topmost', True) - GraylineWin.geometry("360x300") - GraylineWin.resizable(True, True) # 可缩放 - GraylineWin.title("线性变换结果") - - # 显示图像 - LabelPic = tk.Label(GraylineWin, text="IMG", width=360, height=240) - image = ImageTk.PhotoImage(Image.fromarray(result)) - LabelPic.image = image - LabelPic['image'] = image - - LabelPic.bind('', lambda event: changeSize(event, result, LabelPic)) - LabelPic.pack(fill=tk.BOTH, expand=tk.YES) - - # 添加保存按钮 - btn_save = tk.Button(GraylineWin, text="保存", bg='#add8e6', fg='black', font=('Helvetica', 14), width=20, command=savefile) - btn_save.pack(pady=10) - - return - -# 对数变换 -def log_tra(root): - global src, GraylogWin, 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 - - gray_src = cv2.cvtColor(src, cv2.COLOR_BGR2GRAY) - - C = 255 / np.log(1 + 255) - - result = np.array(C * np.log(1 + gray_src), np.float64) - - # 更新 edge 变量 - edge = Image.fromarray(result) - - # 创建 Toplevel 窗口 - try: - GraylogWin.destroy() - except Exception: - print("NVM") - finally: - GraylogWin = Toplevel() - GraylogWin.attributes('-topmost', True) - GraylogWin.geometry("360x300") - GraylogWin.resizable(True, True) # 可缩放 - GraylogWin.title("对数变换结果") - - # 显示图像 - LabelPic = tk.Label(GraylogWin, text="IMG", width=360, height=240) - image = ImageTk.PhotoImage(Image.fromarray(result)) - LabelPic.image = image - LabelPic['image'] = image - - LabelPic.bind('', lambda event: changeSize(event, result, LabelPic)) - LabelPic.pack(fill=tk.BOTH, expand=tk.YES) - - # 添加保存按钮 - btn_save = tk.Button(GraylogWin, text="保存", bg='#add8e6', fg='black', font=('Helvetica', 14), width=20, command=savefile) - btn_save.pack(pady=10) - - return - -# 直方图均衡化 -def equal(root): - global src, EqualWin, 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_src = cv2.cvtColor(src, cv2.COLOR_BGR2GRAY) - - # 保存原始图像尺寸 - original_size = gray_src.shape - - # 图像放缩到 256 x 256 - gray_src_resized = cv2.resize(gray_src, (256, 256)) - - # 图像的直方图 - hist = cv2.calcHist([gray_src_resized], [0], None, [256], [0, 256]) - - # 灰度图均衡化 - equ_resized = cv2.equalizeHist(gray_src_resized) - - # 恢复均衡化后的图像到原始尺寸 - equ = cv2.resize(equ_resized, (original_size[1], original_size[0])) - - # 更新 edge 变量 - edge = Image.fromarray(equ) - - # 创建 Toplevel 窗口 - try: - EqualWin.destroy() - except Exception as e: - print("NVM") - finally: - EqualWin = Toplevel() - EqualWin.attributes('-topmost', True) - EqualWin.geometry("360x300") - EqualWin.resizable(True, True) # 可缩放 - EqualWin.title("直方图均衡化结果") - - # 显示图像 - LabelPic = tk.Label(EqualWin, text="IMG", width=720, height=480) - image = ImageTk.PhotoImage(Image.fromarray(equ)) - LabelPic.image = image - LabelPic['image'] = image - - LabelPic.bind('', lambda event: changeSize(event, equ, LabelPic)) - LabelPic.pack(fill=tk.BOTH, expand=tk.YES) - - # 添加保存按钮 - btn_save = tk.Button(EqualWin, text="保存", bg='#add8e6', fg='black', font=('Helvetica', 14), width=20, command=savefile) - btn_save.pack(pady=10) - - return - -# 直方图正规化 -def regul(root): - global src, X, Y, RegulWin, img_label_ori, img_label_dst,edge - - def select_ori_image(): - global X, img_label_ori, src - RegulWin.attributes('-topmost', True) # 设置窗口为最上层 - img_path = filedialog.askopenfilename(filetypes=[("Image files", "*.jpg;*.png;*.jpeg")], parent=RegulWin) - RegulWin.attributes('-topmost', False) # 恢复窗口最上层属性 - if img_path: - img_path_fixed = os.path.normpath(img_path) - 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") - RegulWin.attributes('-topmost', True) # 设置窗口为最上层 - RegulWin.attributes('-topmost', False) # 恢复窗口最上层属性 - - src = cv2.cvtColor(src_temp, cv2.COLOR_BGR2GRAY) - img = Image.open(img_path) - img.thumbnail((100, 100)) - img_tk = ImageTk.PhotoImage(img) - img_label_ori.configure(image=img_tk) - img_label_ori.image = img_tk - else: - messagebox.showerror("错误", "没有选择图片路径") - RegulWin.attributes('-topmost', True) # 设置窗口为最上层 - RegulWin.attributes('-topmost', False) # 恢复窗口最上层属性 - X = src.copy() - - def select_dst_image(): - global Y, img_label_dst, src - RegulWin.attributes('-topmost', True) # 设置窗口为最上层 - img_path = filedialog.askopenfilename(filetypes=[("Image files", "*.jpg;*.png;*.jpeg")], parent=RegulWin) - RegulWin.attributes('-topmost', False) # 恢复窗口最上层属性 - if img_path: - img_path_fixed = os.path.normpath(img_path) - 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") - RegulWin.attributes('-topmost', True) # 设置窗口为最上层 - RegulWin.attributes('-topmost', False) # 恢复窗口最上层属性 - - src = cv2.cvtColor(src_temp, cv2.COLOR_BGR2GRAY) - img = Image.open(img_path) - img.thumbnail((100, 100)) - img_tk = ImageTk.PhotoImage(img) - img_label_dst.configure(image=img_tk) - img_label_dst.image = img_tk - else: - messagebox.showerror("错误", "没有选择图片路径") - RegulWin.attributes('-topmost', True) # 设置窗口为最上层 - RegulWin.attributes('-topmost', False) # 恢复窗口最上层属性 - Y = src.copy() - - def perform_operation(): - global jmin - RegulWin.attributes('-topmost', True) # 设置窗口为最上层 - RegulWin.attributes('-topmost', False) # 恢复窗口最上层属性 - if X is None or Y is None: - messagebox.showerror("错误", "请选择两张图片") - RegulWin.attributes('-topmost', True) # 设置窗口为最上层 - RegulWin.attributes('-topmost', False) # 恢复窗口最上层属性 - return - - # 调整Y图像的尺寸和通道数与X一致 - Y_resized = cv2.resize(Y, (X.shape[1], X.shape[0])) - if len(X.shape) != len(Y_resized.shape): - if len(X.shape) == 2: - Y_resized = cv2.cvtColor(Y_resized, cv2.COLOR_BGR2GRAY) - else: - Y_resized = cv2.cvtColor(Y_resized, cv2.COLOR_GRAY2BGR) - - mHist1 = [] - mNum1 = [] - inhist1 = [] - mHist2 = [] - mNum2 = [] - inhist2 = [] - - # 对原图像进行均衡化 - for i in range(256): - mHist1.append(0) - - # 获取原图像像素点的宽度和高度 - row, col = X.shape - for i in range(row): - for j in range(col): - mHist1[X[i, j]] = mHist1[X[i, j]] + 1 # 统计灰度值的个数 - mNum1.append(mHist1[0] / X.size) - for i in range(0, 255): - mNum1.append(mNum1[i] + mHist1[i + 1] / X.size) - for i in range(256): - inhist1.append(round(255 * mNum1[i])) - - # 对目标图像进行均衡化 - for i in range(256): - mHist2.append(0) - - # 获取目标图像像素点的宽度和高度 - rows, cols = Y.shape - for i in range(rows): - for j in range(cols): - mHist2[Y[i, j]] = mHist2[Y[i, j]] + 1 - mNum2.append(mHist2[0] / Y.size) - for i in range(0, 255): - mNum2.append(mNum2[i] + mHist2[i + 1] / Y.size) - for i in range(256): - inhist2.append(round(255 * mNum2[i])) - - # 进行规定化 - # 用于放入规定化后的图片像素 - g = [] - for i in range(256): - a = inhist1[i] - flag = True - for j in range(256): - if inhist2[j] == a: - g.append(j) - flag = False - break - if flag == True: - minp = 255 - for j in range(256): - b = abs(inhist2[j] - a) - if b < minp: - minp = b - jmin = j - g.append(jmin) - for i in range(row): - for j in range(col): - X[i, j] = g[X[i, j]] - - show_result(X) - - def show_result(result_image): - global RegulWin, edge # 更新全局变量 edge - edge = Image.fromarray(result_image) - - try: - RegulWin.destroy() - except Exception as e: - print("NVM") - finally: - RegulWin = Toplevel() - RegulWin.attributes('-topmost', True) - RegulWin.geometry("360x300") - RegulWin.resizable(True, True) - RegulWin.title("直方图正规化结果") - - LabelPic = tk.Label(RegulWin, text="IMG", width=720, height=240) - image = ImageTk.PhotoImage(Image.fromarray(result_image)) - LabelPic.image = image - LabelPic['image'] = image - - LabelPic.bind('', lambda event: changeSize(event, result_image, LabelPic)) - LabelPic.pack(fill=tk.BOTH, expand=tk.YES) - - # 添加保存按钮 - btn_save = tk.Button(RegulWin, text="保存", bg='#add8e6', fg='black', font=('Helvetica', 14), width=20, command=savefile) - btn_save.pack(pady=10) - - try: - RegulWin.destroy() - except Exception as e: - print("NVM") - finally: - RegulWin = Toplevel() - RegulWin.attributes('-topmost', True) - RegulWin.geometry("720x480") - RegulWin.resizable(True, True) - RegulWin.title("选择图片") - - # 添加两个标签来显示选择的图片 - img_label_ori = tk.Label(RegulWin) - img_label_ori.pack(pady=10) - img_label_dst = tk.Label(RegulWin) - img_label_dst.pack(pady=10) - - btn_select_first = tk.Button(RegulWin, text="选择原图片", bg='#add8e6', fg='black', font=('Helvetica', 14), width=20, command=select_ori_image) - btn_select_first.pack(pady=10) - btn_select_second = tk.Button(RegulWin, text="选择目标图片", bg='#add8e6', fg='black', font=('Helvetica', 14), width=20, command=select_dst_image) - btn_select_second.pack(pady=10) - btn_add = tk.Button(RegulWin, text="正规化", bg='#add8e6', fg='black', font=('Helvetica', 14), width=20, command=lambda: perform_operation()) - btn_add.pack(pady=10) - - return \ No newline at end of file