I am using OpenCV with Python. When I load a JPG or PNG image by calling cv2.imread()
, I get a 2D matrix, whose size is the same as the resolution of that image. Each number in the matrix is in the range of 0 to 255.
I don't understand how this matrix can represent an image. In particular, I expect to see a 3D matrix, whose third dimension represents RGB channels. If a pixel is represented by one 8-bit integer, then the whole image can only have 256 colors, but it is clearly not true.
What am I missing here?
在这里参考文档
Mat src1 = imread(inputImageFilename1.c_str(), 1); # make sure flag > 0
"imread" defaults the second argument to 0, which means that your image is converted to 8-bit depth grayscale. Therefore you are getting a value from 0 to 255 as a color for each pixel of your image.
Try changing your call as follows to get a 3-channel color image:
cv2.imread("yourimage.bmp",1);
For someone, still confused, here you go. I assume the OP is referring to a coloured image. OpenCV represents the image as [Blue, Green, Red] (because BGR was more popular in the 90's compared to RGB). Let's take an example of a 3 x 3 image. It would be represented as follows: Image showing a 3D matrix
I hope it solves the query.
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