opencv之通道的分离(split)与合并(merge))
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分离、合并通道
分离通道：
import cv2
import numpy as np
img = cv2.imread("D:/cat.jpg")
b, g, r = cv2.split(img)
cv2.imshow("Blue", r)
cv2.imshow("Red", g)
cv2.imshow("Green", b)
cv2.waitKey(0)
cv2.destroyAllWindows()
其中split返回RGB三个通道，如果只想返回其中一个通道，可以这样：
b = cv2.split(img)[0]
g = cv2.split(img)[1]
r = cv2.split(img)[2]
通道合并：
这里举得例子是opencv_tutorials中的傅里叶变换
Mat planes[] = {Mat_<float>(padded), Mat::zeros(padded.size(), CV_32F)}; Mat complexI; merge(planes, 2, complexI); // 为延扩后的图像增添一个初始化为0的通道
planes是一个二维数组，merge（planes，2，complexI）相当于把planes合并（merge）为一个二通道的二维数组
The functions merge merge several arrays to make a single multi-channel array. That is, each element of the output array will be a concatenation of the elements of the input arrays, where elements of i-th input array are treated as mv[i].channels()-element vectors.
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