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]) fig = plt.gcf() canvas = FigureCanvasTkAgg(fig,master=root2) canvas.draw() #将Matplotlib绘图对象输出为二进制流 buf = canvas.buffer_rgba() img = Image.frombytes('RGBA',canvas.get_width_height(),bytes(buf)) tk_img = ImageTk.PhotoImage(img) #plt.show() return tk_img如何禁止直方图叠加

要禁止直方图叠加，需要为每个颜色通道创建一个新的子图。您可以修改代码如下：

def channel_hist(image):
    color = ('b', 'g', 'r')
    fig, axs = plt.subplots(nrows=1, ncols=3, figsize=(8,3)) # 创建一行三列的子图
    for i, color in enumerate(color):
        hist = cv2.calcHist([image], [i], None, [256], [0, 256])
        axs[i].plot(hist, color)
        axs[i].set_xlim([0, 256])
    # plt.show()
    canvas = FigureCanvasTkAgg(fig,master=root2)
    canvas.draw()
    # 将Matplotlib绘图对象输出为二进制流
    buf = canvas.buffer_rgba()
    img = Image.frombytes('RGBA',canvas.get_width_height(),bytes(buf))
    tk_img = ImageTk.PhotoImage(img)
    return tk_img

这样，每个颜色通道的直方图将显示在不同的子图中，而不是在同一个图中叠加。