[Python] binarization an image grayscale

i am new in python , my probleme it's about edit some changes in an image grayscale , i wanna make a binarization for this image , the values of pixels bigger then 100 take the value 1 (white), and the values low than 100 takes the value 0 (black) so any suggestion plz (sorry for my bad english)

my code :

`import numpy as np import cv2

image = cv2.imread('Image3.png', 0)




dimension = image.shape
height = dimension[0]
width = dimension[1]

#finalimage = np.zeros((height, width))
for i in range(height) :
for j in range(width):

if (image[i, j] > 100):
image[j] = [1]
else:
image[j] = [0]

cv2.imshow('binarizedImage',image)
cv2.waitKey(0)
cv2.destroyAllWindows()

Continue reading...