将下面的代码从MATLAB转换成python:T=graythresh(CM_2D); change_map=imbinarize(CM_2D,T);
时间: 2023-06-06 22:09:06 浏览: 61
Sure, here's the Python code to convert the given MATLAB code:
```
import numpy as np
from PIL import Image
# Load CM_2D image
CM_2D = np.array(Image.open('CM_2D.png'))
# Convert to grayscale
CM_2D_gray = np.mean(CM_2D, axis=2)
# Apply Otsu's method to find the threshold value
T = filters.threshold_otsu(CM_2D_gray)
# Threshold the image
change_map = CM_2D_gray > T
```
Please note that the `imbinarize` function in MATLAB uses Otsu's method to binarize the image, which is equivalent to using the `threshold_otsu` function in Python's `skimage.filters` module.
相关问题
讲这段代码从MATLAB转换成python:center = mf*(data+alfa*data1)./((ones(size(data, 2), 1)*sum(mf'))'*(1+alfa));
Sure, I can help you convert this MATLAB code to Python. Here's the Python equivalent of the given code:
center = mf*(data * alpha * data1)/((np.ones(data.shape[1]) * mf.sum(axis=1)) * (1 - alpha))
Note that I have used the NumPy library in the Python code. Please let me know if you have any further questions!
Matlab程序:Train_error = mean(Train_Error);转换成python程序
Python程序:
```
Train_error = np.mean(Train_Error)
```
其中,np是numpy库的别名,需要先导入该库。