Slow Binary Thresholding (Binary Segmentation) of an image using OpenCV

opencv_simple_thresholding.py

import numpy as np
import cv2

bw = cv2.imread("image.pmg",0) # read as BmW
height,width = bw.shape[0:2]
cv2.imshow("Original BW",bw)

binary = np.zeros([height,width,1],'uint8')

thresh = 85

for row in range (0,height):
    for col in range(0,width):
        if bw[row][col]>thresh:
            binary[row][col]=255

cv2.imshow("Slow Binary",binary)

# Faster Method 
ret,thresh = cv2.threshold(bw,thresh,255,cv2.THRESH_BINARY)
cv2.imshow("CV Threshold",thresh)

cv2.waitKey(0)
cv2.destroyAllWindows()