Hands-On Image Processing with Python

Reading, saving, and displaying an image using scikit-image

The next code block uses the imread() function from scikit-image to read an image in a numpy ndarray of type uint8 (8-bit unsigned integer). Hence, the pixel values will be in between 0 and 255. Then it converts (changes the image type or mode, which will be discussed shortly) the colored RGB image into an HSV image using the hsv2rgb() function from the Image.color module. Next, it changes the saturation (colorfulness) to a constant value for all of the pixels by keeping the hue and value channels unchanged. The image is then converted back into RGB mode with the rgb2hsv() function to create a new image, which is then saved and displayed:

im = imread("../images/parrot.png") # read ...