From 885fa7ea6f97779188fda056690a4c57b523ffdf Mon Sep 17 00:00:00 2001 From: pos97em56 <10225101485@ecnu.stu.edu.cn> Date: Tue, 2 Jul 2024 22:58:41 +0800 Subject: [PATCH] ADD file via upload --- basic/image_enhance.py | 429 +++++++++++++++++++++++++++++++++++++++++ 1 file changed, 429 insertions(+) create mode 100644 basic/image_enhance.py diff --git a/basic/image_enhance.py b/basic/image_enhance.py new file mode 100644 index 0000000..30ad751 --- /dev/null +++ b/basic/image_enhance.py @@ -0,0 +1,429 @@ +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