ADD file via upload

basic/image_enhance.py

@@ -0,0 +1,284 @@
+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('<Configure>', 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('<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)