def channel_hist(image): color = ('b', 'g', 'r') for i, color in enumerate(color): hist = cv2.calcHist([image], [i], None, [256], [0, 256]) plt.plot(hist, color) plt.xlim([0, 256]) #plt.show() return plt怎样用 Matplotlib 提供的 FigureCanvasTkAgg 类将整个绘图对象嵌入到 Tkinter GUI 中。

你可以按照以下步骤将 Matplotlib 绘图对象嵌入到 Tkinter GUI 中：

1. 导入 Matplotlib 和 Tkinter 库：

   import matplotlib.pyplot as plt
   from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg
   import tkinter as tk

2. 创建 Matplotlib 绘图对象：

   def channel_hist(image):
       color = ('b', 'g', 'r')
       for i, color in enumerate(color):
           hist = cv2.calcHist([image], [i], None, [256], [0, 256])
           plt.plot(hist, color)
           plt.xlim([0, 256])
       return plt

3. 创建 Tkinter 窗口和画布：

   root = tk.Tk()
   canvas = tk.Canvas(root, width=400, height=300)
   canvas.pack()

4. 将 Matplotlib 绘图对象嵌入到 Tkinter 画布中：

   fig = channel_hist(image).gcf()
   canvas_widget = FigureCanvasTkAgg(fig, canvas)
   canvas_widget.draw()
   canvas_widget.get_tk_widget().pack()

5. 运行 Tkinter 主循环：

   root.mainloop()

完整代码示例：

import matplotlib.pyplot as plt
from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg
import tkinter as tk

def channel_hist(image):
    color = ('b', 'g', 'r')
    for i, color in enumerate(color):
        hist = cv2.calcHist([image], [i], None, [256], [0, 256])
        plt.plot(hist, color)
        plt.xlim([0, 256])
    return plt

# 创建 Tkinter 窗口和画布
root = tk.Tk()
canvas = tk.Canvas(root, width=400, height=300)
canvas.pack()

# 将 Matplotlib 绘图对象嵌入到 Tkinter 画布中
fig = channel_hist(image).gcf()
canvas_widget = FigureCanvasTkAgg(fig, canvas)
canvas_widget.draw()
canvas_widget.get_tk_widget().pack()

# 运行 Tkinter 主循环
root.mainloop()

这样就可以将 Matplotlib 绘图对象嵌入到 Tkinter GUI 中了。