We can convert from one color space into another using library functions; for example, the following code converts an RGB color space into an HSV color space image:

im = imread("../images/parrot.png")
im_hsv = color.rgb2hsv(im)
plt.gray()
plt.figure(figsize=(10,8))
plt.subplot(221), plt.imshow(im_hsv[...,0]), plt.title('h', size=20), plt.axis('off')
plt.subplot(222), plt.imshow(im_hsv[...,1]), plt.title('s', size=20), plt.axis('off')
plt.subplot(223), plt.imshow(im_hsv[...,2]), plt.title('v', size=20), plt.axis('off')
plt.subplot(224), plt.axis('off')
plt.show()

The next figure shows the h (heu or color: dominant wave length of reflected light), s (saturation or chroma) and v (value or brightness/luminescence) channels of the parrot HSV image, created using the previous code:

Similarly, we can convert the image into the YUV color space using the rgb2yuv() function.