在用plt.imshow和cv2.imshow显示同一幅图时可能会出现颜色差别很大的现象。这是因为:
- opencv的接口使用BGR,而matplotlib.pyplot 则是RGB模式
- 下面代码cv2读入的是BGR模式,在opencv里面存储的是BGR,所以img用opencv输出就是正常颜色;
- 而matplotlib.pyplot是RGB模式,当用cv读入,直接用matplotlib.pyplot输出,颜色就变了,所以需要调整颜色的顺序,就变成了img2;
import cv2
import numpy as np
import matplotlib.pyplot as plt
img = cv2.imread('lena_std.tif')
b,g,r = cv2.split(img)
img2 = cv2.merge([r,g,b])
plt.subplot(121);plt.imshow(img)
plt.subplot(122);plt.imshow(img2)
plt.show()
cv2.imshow('bgr image',img)
cv2.imshow('rgb image',img2)
cv2.waitKey(0)
cv2.destroyAllWindows()
程序运行结果如下:
Matplotlib显示结果
OpenCV显示结果
参考资料:http://stackoverflow.com/questions/15072736/extracting-a-region-from-an-image-using-slicing-in-python-opencv/15074748#15074748
转载:https://blog.csdn.net/cnnmena/article/details/79613531