Implementing the Max RGB filter

We know that filters allow and block signals or data, depending on some criteria. Let's manually write the code for implementing a special filter based on the value of the intensity of the colors of pixels. This is known as the Max RGB filter. In a Max RGB filter, we compare the intensities of all the color channels of a color image for every pixel.

Then, we keep the intensity of the channel(s) with the maximum intensity and reduce the intensities of all the other channels to zero. This happens for every pixel in an image. Suppose, for a pixel, the intensities are (30, 200, 120). Then, after applying the Max RGB filter, it will be (0, 200, 0). Let's take a look at a program that will implement this with the NumPy and OpenCV functions:

import cv2
import numpy as np
def maxRGB(img):
    b = img[:, :, 0]
    g = img[:, :, 1]
    r = img[:, :, 2]
    M = np.maximum...