使用PIL / Pillow过滤图像中的红色像素

Question

currently I am trying to detect red pixels inside a small picture (about 360*360 pixels).

The images have a broad range of red-values which is why I can't just iterate over all pixels and check for a certain rgb-value.

What would some efficient ways be to analyze such a picture to get the percentage of pixels which are perceived as red by humans?

Thanks in advance.

Answer 1

Convert the image into HSV color space. Then the croma will be determined just by the H value. So you could put a threshold only on H to get red color.