如何在Python中使用OpenCV合并2个灰度图像

Question

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]) 
... 

的问题是，灰度图像不具有应为1和合并功能深度属性需要的图像的相同的尺寸和相同的深度。我得到错误：

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 

我该如何合并这个数组？

Answer 1

解决了，我不得不D型的img_gray从uint8更改为float64

img_gray = numpy.float64(img_gray) 

---

OpenCV的版本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 

操纵渠道......在我的情况下，向蓝色通道添加高斯噪声（b => 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：

• 或者，您也可以在astype使用np.double代替np.float类型铸造
• Open CV Documentation Link