diff --git a/basic/image_enhance.py b/basic/image_enhance.py index 0fb757c..0175881 100644 --- a/basic/image_enhance.py +++ b/basic/image_enhance.py @@ -1,284 +1,271 @@ -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 - -# 全局变量定义 -img_path = "" # 用于存储图像路径 -src = None # 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 # 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 - -GraylineWin = None # 线性变换窗口 -GraylogWin = None # 对数变换窗口 -EqualWin = None # 直方图均衡化窗口 -RegulWin = None # 直方图正规化窗口 - -def select_image(root): - """ - 选择图像文件并显示在主窗口上 - """ - global img_path, src, img_label, edge - - # 打开文件选择对话框，选择图像文件 - img_path = filedialog.askopenfilename(filetypes=[("Image files", "*.jpg;*.png;*.jpeg;*.bmp")]) - if img_path: - img_path_fixed = os.path.normpath(img_path) # 处理路径中的反斜杠 - - # 读取并解码图像文件 - 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) # 转换为 RGB 格式 - - # 创建或更新图像标签 - 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)) # 缩略图 - img_tk = ImageTk.PhotoImage(img) - img_label.configure(image=img_tk) - img_label.image = img_tk - - edge = Image.fromarray(src) # 更新 edge 变量为 PIL.Image 对象 - else: - messagebox.showerror("错误", "没有选择图片路径") - -def show_selected_image(root): - """ - 显示选择的图像 - """ - 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): - """ - 根据窗口尺寸调整图像大小并显示 - """ - 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") - -def line_tra(root): - """ - 进行线性变换 - """ - global src, GraylineWin, edge - - # 判断是否已经选择图片 - if src is None: - messagebox.showerror("错误", "没有选择图片！") - return - - gray_src = cv2.cvtColor(src, cv2.COLOR_BGR2GRAY) # 转换为灰度图 - - a = 20 - b = 241 - c = 0 - d = 255 - - result = (d - c) / (b - a) * gray_src + (b * c - a * d) / (b - a) # 线性变换公式 - - edge = Image.fromarray(result) # 更新 edge 变量 - - # 创建或更新线性变换结果窗口 - try: - GraylineWin.destroy() - except Exception: - print("NVM") - finally: - GraylineWin = Toplevel() - GraylineWin.attributes('-topmost', True) - GraylineWin.geometry("360x300") - GraylineWin.resizable(True, True) - GraylineWin.title("线性变换结果") - - # 显示处理后的图像 - 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) - - btn_save = tk.Button(GraylineWin, text="保存", bg='#add8e6', fg='black', font=('Helvetica', 14), width=20, command=savefile) - btn_save.pack(pady=10) - -def log_tra(root): - """ - 进行对数变换 - """ - global src, GraylogWin, edge - - # 判断是否已经选择图片 - if src is None: - messagebox.showerror("错误", "没有选择图片！") - return - - gray_src = cv2.cvtColor(src, cv2.COLOR_BGR2GRAY) # 转换为灰度图 - - C = 255 / np.log(1 + 255) # 对数变换常数 - result = np.array(C * np.log(1 + gray_src), np.float64) # 对数变换公式 - - edge = Image.fromarray(result) # 更新 edge 变量 - - # 创建或更新对数变换结果窗口 - try: - GraylogWin.destroy() - except Exception: - print("NVM") - finally: - GraylogWin = Toplevel() - GraylogWin.attributes('-topmost', True) - GraylogWin.geometry("360x300") - GraylogWin.resizable(True, True) - GraylogWin.title("对数变换结果") - - # 显示处理后的图像 - 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) - - btn_save = tk.Button(GraylogWin, text="保存", bg='#add8e6', fg='black', font=('Helvetica', 14), width=20, command=savefile) - btn_save.pack(pady=10) - -def equal(root): - """ - 进行直方图均衡化 - """ - global src, EqualWin, edge - - # 判断是否已经选择图片 - if src is None: - messagebox.showerror("错误", "没有选择图片！") - return - - gray_src = cv2.cvtColor(src, cv2.COLOR_BGR2GRAY) # 转换为灰度图 - original_size = gray_src.shape # 保存原始图像尺寸 - gray_src_resized = cv2.resize(gray_src, (256, 256)) # 图像放缩到 256 x 256 - hist = cv2.calcHist([gray_src_resized], [0], None, [256], [0, 256]) # 计算直方图 - equ_resized = cv2.equalizeHist(gray_src_resized) # 均衡化 - equ = cv2.resize(equ_resized, (original_size[1], original_size[0])) # 恢复均衡化后的图像到原始尺寸 - - edge = Image.fromarray(equ) # 更新 edge 变量 - - # 创建或更新直方图均衡化结果窗口 - try: - EqualWin.destroy() - except Exception as e: - print("NVM") - finally: - EqualWin = Toplevel() - EqualWin.attributes('-topmost', True) - EqualWin.geometry("360x300") - EqualWin.resizable(True, True) - EqualWin.title("直方图均衡化结果") - - # 显示处理后的图像 - 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) - - btn_save = tk.Button(EqualWin, text="保存", bg='#add8e6', fg='black', font=('Helvetica', 14), width=20, command=savefile) - btn_save.pack(pady=10) - -def regul(root): - """ - 进行直方图正规化 - """ - global src, RegulWin, edge - - # 判断是否已经选择图片 - if src is None: - messagebox.showerror("错误", "没有选择图片！") - return - - gray_src = cv2.cvtColor(src, cv2.COLOR_BGR2GRAY) # 转换为灰度图 - original_size = gray_src.shape # 保存原始图像尺寸 - gray_src_resized = cv2.resize(gray_src, (256, 256)) # 图像放缩到 256 x 256 - hist = cv2.calcHist([gray_src_resized], [0], None, [256], [0, 256]) # 计算直方图 - cv2.normalize(hist, hist, alpha=0, beta=255, norm_type=cv2.NORM_MINMAX) # 正规化 - result = np.zeros((256, 256), dtype=np.uint8) # 初始化结果图像 - - for i in range(256): - result[gray_src_resized == i] = hist[i] # 应用正规化直方图 - - equ = cv2.resize(result, (original_size[1], original_size[0])) # 恢复正规化后的图像到原始尺寸 - - edge = Image.fromarray(equ) # 更新 edge 变量 - - # 创建或更新直方图正规化结果窗口 - 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") - - # 显示处理后的图像 - LabelPic = tk.Label(RegulWin, 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) - - btn_save = tk.Button(RegulWin, text="保存", bg='#add8e6', fg='black', font=('Helvetica', 14), width=20, command=savefile) - btn_save.pack(pady=10) +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 + +# 全局变量定义 +img_path = "" # 用于存储图像路径 +src = None # 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 # 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 + +GraylineWin = None # 线性变换窗口 +GraylogWin = None # 对数变换窗口 +EqualWin = None # 直方图均衡化窗口 +RegulWin = None # 直方图正规化窗口 + +def select_image(root): + """ + 选择图像文件并显示在主窗口上 + """ + global img_path, src, img_label, edge + + # 打开文件选择对话框，选择图像文件 + img_path = filedialog.askopenfilename(filetypes=[("Image files", "*.jpg;*.png;*.jpeg;*.bmp")]) + if img_path: + img_path_fixed = os.path.normpath(img_path) # 处理路径中的反斜杠 + + # 读取并解码图像文件 + 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) # 转换为 RGB 格式 + + # 创建或更新图像标签 + 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)) # 缩略图 + img_tk = ImageTk.PhotoImage(img) + img_label.configure(image=img_tk) + img_label.image = img_tk + + edge = Image.fromarray(src) # 更新 edge 变量为 PIL.Image 对象 + else: + messagebox.showerror("错误", "没有选择图片路径") + +def changeSize(event, img, LabelPic): + """ + 根据窗口尺寸调整图像大小并显示 + """ + 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") + +def line_tra(root): + """ + 进行线性变换 + """ + global src, GraylineWin, edge + + # 判断是否已经选择图片 + if src is None: + messagebox.showerror("错误", "没有选择图片！") + return + + gray_src = cv2.cvtColor(src, cv2.COLOR_BGR2GRAY) # 转换为灰度图 + + a = 20 + b = 241 + c = 0 + d = 255 + + result = (d - c) / (b - a) * gray_src + (b * c - a * d) / (b - a) # 线性变换公式 + + edge = Image.fromarray(result) # 更新 edge 变量 + + # 创建或更新线性变换结果窗口 + try: + GraylineWin.destroy() + except Exception: + print("NVM") + finally: + GraylineWin = Toplevel() + GraylineWin.attributes('-topmost', True) + GraylineWin.geometry("360x300") + GraylineWin.resizable(True, True) + GraylineWin.title("线性变换结果") + + # 显示处理后的图像 + 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) + + btn_save = tk.Button(GraylineWin, text="保存", bg='#add8e6', fg='black', font=('Helvetica', 14), width=20, command=savefile) + btn_save.pack(pady=10) + +def log_tra(root): + """ + 进行对数变换 + """ + global src, GraylogWin, edge + + # 判断是否已经选择图片 + if src is None: + messagebox.showerror("错误", "没有选择图片！") + return + + gray_src = cv2.cvtColor(src, cv2.COLOR_BGR2GRAY) # 转换为灰度图 + + C = 255 / np.log(1 + 255) # 对数变换常数 + result = np.array(C * np.log(1 + gray_src), np.float64) # 对数变换公式 + + edge = Image.fromarray(result) # 更新 edge 变量 + + # 创建或更新对数变换结果窗口 + try: + GraylogWin.destroy() + except Exception: + print("NVM") + finally: + GraylogWin = Toplevel() + GraylogWin.attributes('-topmost', True) + GraylogWin.geometry("360x300") + GraylogWin.resizable(True, True) + GraylogWin.title("对数变换结果") + + # 显示处理后的图像 + 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) + + btn_save = tk.Button(GraylogWin, text="保存", bg='#add8e6', fg='black', font=('Helvetica', 14), width=20, command=savefile) + btn_save.pack(pady=10) + +def equal(root): + """ + 进行直方图均衡化 + """ + global src, EqualWin, edge + + # 判断是否已经选择图片 + if src is None: + messagebox.showerror("错误", "没有选择图片！") + return + + gray_src = cv2.cvtColor(src, cv2.COLOR_BGR2GRAY) # 转换为灰度图 + original_size = gray_src.shape # 保存原始图像尺寸 + gray_src_resized = cv2.resize(gray_src, (256, 256)) # 图像放缩到 256 x 256 + hist = cv2.calcHist([gray_src_resized], [0], None, [256], [0, 256]) # 计算直方图 + equ_resized = cv2.equalizeHist(gray_src_resized) # 均衡化 + equ = cv2.resize(equ_resized, (original_size[1], original_size[0])) # 恢复均衡化后的图像到原始尺寸 + + edge = Image.fromarray(equ) # 更新 edge 变量 + + # 创建或更新直方图均衡化结果窗口 + try: + EqualWin.destroy() + except Exception as e: + print("NVM") + finally: + EqualWin = Toplevel() + EqualWin.attributes('-topmost', True) + EqualWin.geometry("360x300") + EqualWin.resizable(True, True) + EqualWin.title("直方图均衡化结果") + + # 显示处理后的图像 + 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) + + btn_save = tk.Button(EqualWin, text="保存", bg='#add8e6', fg='black', font=('Helvetica', 14), width=20, command=savefile) + btn_save.pack(pady=10) + +def regul(root): + """ + 进行直方图正规化 + """ + global src, RegulWin, edge + + # 判断是否已经选择图片 + if src is None: + messagebox.showerror("错误", "没有选择图片！") + return + + gray_src = cv2.cvtColor(src, cv2.COLOR_BGR2GRAY) # 转换为灰度图 + original_size = gray_src.shape # 保存原始图像尺寸 + gray_src_resized = cv2.resize(gray_src, (256, 256)) # 图像放缩到 256 x 256 + hist = cv2.calcHist([gray_src_resized], [0], None, [256], [0, 256]) # 计算直方图 + cv2.normalize(hist, hist, alpha=0, beta=255, norm_type=cv2.NORM_MINMAX) # 正规化 + result = np.zeros((256, 256), dtype=np.uint8) # 初始化结果图像 + + for i in range(256): + result[gray_src_resized == i] = hist[i] # 应用正规化直方图 + + equ = cv2.resize(result, (original_size[1], original_size[0])) # 恢复正规化后的图像到原始尺寸 + + edge = Image.fromarray(equ) # 更新 edge 变量 + + # 创建或更新直方图正规化结果窗口 + 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") + + # 显示处理后的图像 + LabelPic = tk.Label(RegulWin, 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) + + btn_save = tk.Button(RegulWin, text="保存", bg='#add8e6', fg='black', font=('Helvetica', 14), width=20, command=savefile) + btn_save.pack(pady=10)