Separate an RGB image into three channels:

Extract the luminance channel of an image:

By default, an image is separated into the channels of its native color space. Red, green and blue channels of an RGB image:

Hue, saturation and brightness of the image converted to the HSB space:

Extract the blue channel:

Extract the luminance channel:

Compare color separation in different color spaces:

Red, green and blue channels of a 3D image:

Extract red objects by subtracting the blue and green color planes from the red color plane:

Colorize separated channels:

Segment foreground from background by thresholding the saturation values:

Display an RGB image using eight colors only:

Convert a color image to grayscale by selecting the maximum channel value of each pixel:

Compute the gradient of a multichannel image using three different methods:

Separating colors of an image in a space is equivalent to color separation after converting to that space:

The luminance of an image in RGB and Lab color spaces is the same:

The average pixel value of an RGB image and the luminance value are different:

Compare luminance-related channels in three different color spaces:

The "V" and "K" channel values are negatives of each other: