[英]Segment Image based on RGB Value on Quantized image
How would I segment the background from an image that has already been quantized(n=5/6)? 我如何从已经量化(n = 5/6)的图像中分割背景?
Assuming, I have a clean background color that is only one color, I think filtering out everything by either the rgb value of the top left or top right pixel would work great. 假设我有一个干净的背景色,它只是一种颜色,我认为通过左上或右上像素的rgb值过滤掉所有内容都很好。
Ideally, I would like to avoid using openCV 理想情况下,我想避免使用openCV
Sample: 样品:
Compare each pixel color to the pixel in the top-left corner. 将每种像素颜色与左上角的像素进行比较。 A pixel where all three layers of R, G, and B match is background:
R,G和B的所有三层都匹配的像素是背景:
mask = np.all(image == image[0, 0, :], axis=2)
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