parent
4d549d031f
commit
87a6541480
@ -1,284 +1,271 @@
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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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# 全局变量定义
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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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X = None # 用于存储第一张图像
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Y = None # 用于存储第二张图像
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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
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GraylineWin = None # 线性变换窗口
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GraylogWin = None # 对数变换窗口
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EqualWin = None # 直方图均衡化窗口
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RegulWin = None # 直方图正规化窗口
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def select_image(root):
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"""
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选择图像文件并显示在主窗口上
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"""
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global img_path, src, img_label, edge
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# 打开文件选择对话框，选择图像文件
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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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img_path_fixed = os.path.normpath(img_path) # 处理路径中的反斜杠
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# 读取并解码图像文件
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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) # 转换为 RGB 格式
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# 创建或更新图像标签
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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)) # 缩略图
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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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edge = Image.fromarray(src) # 更新 edge 变量为 PIL.Image 对象
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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 show_selected_image(root):
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"""
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显示选择的图像
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"""
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global img_label
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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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def changeSize(event, img, LabelPic):
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"""
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根据窗口尺寸调整图像大小并显示
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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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def line_tra(root):
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"""
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进行线性变换
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"""
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global src, GraylineWin, edge
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# 判断是否已经选择图片
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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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gray_src = cv2.cvtColor(src, cv2.COLOR_BGR2GRAY) # 转换为灰度图
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a = 20
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b = 241
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c = 0
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d = 255
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result = (d - c) / (b - a) * gray_src + (b * c - a * d) / (b - a) # 线性变换公式
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edge = Image.fromarray(result) # 更新 edge 变量
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# 创建或更新线性变换结果窗口
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try:
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GraylineWin.destroy()
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except Exception:
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print("NVM")
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finally:
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GraylineWin = Toplevel()
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GraylineWin.attributes('-topmost', True)
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GraylineWin.geometry("360x300")
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GraylineWin.resizable(True, True)
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GraylineWin.title("线性变换结果")
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# 显示处理后的图像
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LabelPic = tk.Label(GraylineWin, text="IMG", width=360, height=240)
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image = ImageTk.PhotoImage(Image.fromarray(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, result, LabelPic))
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LabelPic.pack(fill=tk.BOTH, expand=tk.YES)
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btn_save = tk.Button(GraylineWin, 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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def log_tra(root):
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"""
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进行对数变换
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"""
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global src, GraylogWin, edge
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# 判断是否已经选择图片
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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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gray_src = cv2.cvtColor(src, cv2.COLOR_BGR2GRAY) # 转换为灰度图
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C = 255 / np.log(1 + 255) # 对数变换常数
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result = np.array(C * np.log(1 + gray_src), np.float64) # 对数变换公式
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edge = Image.fromarray(result) # 更新 edge 变量
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# 创建或更新对数变换结果窗口
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try:
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GraylogWin.destroy()
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except Exception:
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print("NVM")
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finally:
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GraylogWin = Toplevel()
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GraylogWin.attributes('-topmost', True)
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GraylogWin.geometry("360x300")
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GraylogWin.resizable(True, True)
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GraylogWin.title("对数变换结果")
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# 显示处理后的图像
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LabelPic = tk.Label(GraylogWin, text="IMG", width=360, height=240)
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image = ImageTk.PhotoImage(Image.fromarray(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, result, LabelPic))
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LabelPic.pack(fill=tk.BOTH, expand=tk.YES)
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btn_save = tk.Button(GraylogWin, 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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def equal(root):
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"""
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进行直方图均衡化
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"""
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global src, EqualWin, edge
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# 判断是否已经选择图片
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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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gray_src = cv2.cvtColor(src, cv2.COLOR_BGR2GRAY) # 转换为灰度图
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original_size = gray_src.shape # 保存原始图像尺寸
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gray_src_resized = cv2.resize(gray_src, (256, 256)) # 图像放缩到 256 x 256
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hist = cv2.calcHist([gray_src_resized], [0], None, [256], [0, 256]) # 计算直方图
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equ_resized = cv2.equalizeHist(gray_src_resized) # 均衡化
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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
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edge = Image.fromarray(equ) # 更新 edge 变量
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# 创建或更新直方图均衡化结果窗口
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try:
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EqualWin.destroy()
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except Exception as e:
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print("NVM")
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finally:
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EqualWin = Toplevel()
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EqualWin.attributes('-topmost', True)
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EqualWin.geometry("360x300")
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EqualWin.resizable(True, True)
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EqualWin.title("直方图均衡化结果")
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# 显示处理后的图像
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LabelPic = tk.Label(EqualWin, text="IMG", width=720, height=480)
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image = ImageTk.PhotoImage(Image.fromarray(equ))
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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, equ, LabelPic))
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LabelPic.pack(fill=tk.BOTH, expand=tk.YES)
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btn_save = tk.Button(EqualWin, 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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def regul(root):
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"""
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进行直方图正规化
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"""
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global src, RegulWin, edge
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# 判断是否已经选择图片
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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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gray_src = cv2.cvtColor(src, cv2.COLOR_BGR2GRAY) # 转换为灰度图
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original_size = gray_src.shape # 保存原始图像尺寸
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gray_src_resized = cv2.resize(gray_src, (256, 256)) # 图像放缩到 256 x 256
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hist = cv2.calcHist([gray_src_resized], [0], None, [256], [0, 256]) # 计算直方图
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cv2.normalize(hist, hist, alpha=0, beta=255, norm_type=cv2.NORM_MINMAX) # 正规化
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result = np.zeros((256, 256), dtype=np.uint8) # 初始化结果图像
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for i in range(256):
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result[gray_src_resized == i] = hist[i] # 应用正规化直方图
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equ = cv2.resize(result, (original_size[1], original_size[0])) # 恢复正规化后的图像到原始尺寸
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edge = Image.fromarray(equ) # 更新 edge 变量
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# 创建或更新直方图正规化结果窗口
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try:
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RegulWin.destroy()
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except Exception as e:
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print("NVM")
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finally:
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RegulWin = Toplevel()
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RegulWin.attributes('-topmost', True)
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RegulWin.geometry("360x300")
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RegulWin.resizable(True, True)
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RegulWin.title("直方图正规化结果")
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# 显示处理后的图像
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LabelPic = tk.Label(RegulWin, text="IMG", width=720, height=480)
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image = ImageTk.PhotoImage(Image.fromarray(equ))
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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, equ, LabelPic))
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LabelPic.pack(fill=tk.BOTH, expand=tk.YES)
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btn_save = tk.Button(RegulWin, 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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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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# 全局变量定义
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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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X = None # 用于存储第一张图像
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Y = None # 用于存储第二张图像
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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
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GraylineWin = None # 线性变换窗口
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GraylogWin = None # 对数变换窗口
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EqualWin = None # 直方图均衡化窗口
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RegulWin = None # 直方图正规化窗口
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def select_image(root):
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"""
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选择图像文件并显示在主窗口上
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"""
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global img_path, src, img_label, edge
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# 打开文件选择对话框，选择图像文件
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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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img_path_fixed = os.path.normpath(img_path) # 处理路径中的反斜杠
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# 读取并解码图像文件
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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) # 转换为 RGB 格式
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# 创建或更新图像标签
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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)) # 缩略图
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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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edge = Image.fromarray(src) # 更新 edge 变量为 PIL.Image 对象
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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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根据窗口尺寸调整图像大小并显示
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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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def line_tra(root):
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"""
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进行线性变换
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"""
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global src, GraylineWin, edge
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# 判断是否已经选择图片
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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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gray_src = cv2.cvtColor(src, cv2.COLOR_BGR2GRAY) # 转换为灰度图
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a = 20
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b = 241
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c = 0
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d = 255
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result = (d - c) / (b - a) * gray_src + (b * c - a * d) / (b - a) # 线性变换公式
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edge = Image.fromarray(result) # 更新 edge 变量
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# 创建或更新线性变换结果窗口
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try:
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GraylineWin.destroy()
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except Exception:
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print("NVM")
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finally:
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GraylineWin = Toplevel()
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GraylineWin.attributes('-topmost', True)
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GraylineWin.geometry("360x300")
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GraylineWin.resizable(True, True)
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GraylineWin.title("线性变换结果")
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# 显示处理后的图像
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LabelPic = tk.Label(GraylineWin, text="IMG", width=360, height=240)
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image = ImageTk.PhotoImage(Image.fromarray(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, result, LabelPic))
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LabelPic.pack(fill=tk.BOTH, expand=tk.YES)
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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('<Configure>', 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('<Configure>', 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('<Configure>', 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)
|
||||
|
||||
Loading…
Reference in new issue