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多次执行函数时不同图片的直方图会叠加在一起,怎么阻止?
时间: 2024-03-17 18:45:43 浏览: 10
您可以在每次调用 `channel_hist` 函数之前,清除 Matplotlib 的当前图形。可以在函数开头加入以下代码:
```
plt.clf()
```
这将清除当前图形,防止不同图片的直方图叠加在一起。修改后的函数代码如下:
```
def channel_hist(image):
plt.clf() # 清除当前图形
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()
buf = canvas.buffer_rgba()
img = Image.frombytes('RGBA',canvas.get_width_height(),bytes(buf))
tk_img = ImageTk.PhotoImage(img)
return tk_img
```
这样,每次调用 `channel_hist` 函数时,都会清除之前的图形,只显示当前图片的直方图。
相关问题
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:
```python
import matplotlib.pyplot as plt
from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg
import tkinter as tk
```
2. 创建 Matplotlib 绘图对象:
```python
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:
```python
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:
```python
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:
```python
root.mainloop()
```
完整代码示例:
```python
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。
Exception in Tkinter callback Traceback (most recent call last): File "D:\Download\lib\tkinter\__init__.py", line 1921, in __call__ return self.func(*args) File "D:\study\作业\image\main.py", line 329, in <lambda> button4 = Button(root2, text='执行程序', relief=GROOVE, font=('微软雅黑', 14),command=lambda:mediumbutton(img))#执行程序按钮 File "D:\study\作业\image\main.py", line 319, in mediumbutton img_medium1 = merge(img) File "D:\study\作业\image\main.py", line 302, in merge zhifangtu1 = channel_hist(test) File "D:\study\作业\image\main.py", line 287, in channel_hist buf = canvas.tostring_rgba() AttributeError: 'FigureCanvasTkAgg' object has no attribute 'tostring_rgba'
这个错误是因为你正在尝试使用 `tostring_rgba()` 方法,但是你使用的 matplotlib 版本太老,不支持该方法。你可以尝试使用 `buffer_rgba()` 方法来替代。
你需要修改代码中的一行,将 `tostring_rgba()` 改为 `buffer_rgba()`。修改后的代码如下所示:
```
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(),buf)
tk_img = ImageTk.PhotoImage(img)
#plt.show()
return tk_img
```
请尝试修改代码并重新运行程序,看看是否可以解决问题。