You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
272 lines
9.0 KiB
272 lines
9.0 KiB
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('<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)
|