Apply Transformation Matrix To Pixels In Opencv Image

I want to change the color basis of an image from RGB to something else. I have a matrix M that I want to apply to each pixel's RGB, which we can define as xij. I am currently iter

Solution 1:

Can't remember the canonical way to do this (possibly avoiding the transposes) but this should work:

import numpy as np

M = np.random.random_sample((3, 3))

rgb = np.random.random_sample((5, 4, 3))

slow_result = np.zeros_like(rgb)
for i in range(rgb.shape[0]):
    for j in range(rgb.shape[1]):
        slow_result[i, j, :] = np.dot(M, rgb[i, j, :])

# faster method
rgb_reshaped = rgb.reshape((rgb.shape[0] * rgb.shape[1], rgb.shape[2]))
result = np.dot(M, rgb_reshaped.T).T.reshape(rgb.shape)

print np.allclose(slow_result, result)

If it's a transformation between standard colorspaces then you should use Scikit Image:

• http://scikit-image.org/docs/dev/api/skimage.color.html