Combining Mahotas and OpenCV

Just like OpenCV, Mahotas uses NumPy arrays to store and process images. We can also combine OpenCV and Mahotas. Let's see an example of this, as follows:

import cv2
import numpy as np
import mahotas as mh
cap = cv2.VideoCapture(0)
while True:
    ret, frame = cap.read()
    frame = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
    T_otsu = mh.otsu(frame)
    output = frame > T_otsu
    output = output.astype(np.uint8) * 255
    cv2.imshow('Output', output)
    if cv2.waitKey(1) == 27:
        break
cv2.destroyAllWindows()
cap.release()

In the preceding program, we converted a live frame into a grayscale version. Then, we applied a Mahotas implementation of Otsu's binarization, which converted the frame from the live video feed into a Boolean binary image. We need to convert this to the np.uint8 type and multiply it by 255 (all of which takes the form of ones in binary 8-bit) so that we can use it with cv2.imshow(). The output is...