我想用OpenCv合并方法合并2个单通道灰度图像。这是下面的代码：
...
img_gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
zeros = numpy.zeros(img_gray.shape)
merged = cv2.merge([img_gray, zeros])
...
问题是灰度图像的深度属性不应为1，合并功能需要相同尺寸的图像和相同的深度。我收到错误：
error: /build/buildd/opencv-2.4.8+dfsg1/modules/core/src/convert.cpp:296: error: (-215) mv[i].size == mv[0].size && mv[i].depth() == depth in function merge
如何合并这些数组？
答案 0 :(得分：2)
解决了，我必须将img_gray的dtype从uint8更改为float64
img_gray = numpy.float64(img_gray)
OpenCV版本2.4.11
import numpy as np
# Load the image
img1 = cv2.imread(paths[0], cv2.IMREAD_UNCHANGED)
# could also use cv2.split() but per the docs (link below) it's time consuming
# split the channels using Numpy indexing, notice it's a zero based index unlike MATLAB
b = img1[:, :, 0]
g = img1[:, :, 1]
r = img1[:, :, 2]
# to avoid overflows and truncation in turn, clip the image in [0.0, 1.0] inclusive range
b = b.astype(np.float)
b /= 255
操纵通道......在我的情况下，将高斯噪声添加到蓝色通道（b =＆gt; b1）
b1 = b1.astype(np.float)
g = g.astype(np.float)
r = r.astype(np.float)
# gotcha : notice the parameter is an array of channels
noisy_blue = cv2.merge((b1, g, r))
# store the outcome to disk
cv2.imwrite('output/NoisyBlue.png', noisy_blue)
N.B：