OpenCV1_AdaptiveThresholding.py

import cv2 as cv
import numpy as np
from matplotlib import pyplot as plt

img = cv.imread('D:\image.jpg')
img=cv.medianBlue(img,5)
ret,th1=cv.threshold(img,255,cv.THRESH_BINARY)
th2=cv.adaptiveThreshold(img,255,cv.ADAPTIVE_THRESH_MEAN_C,cv.THRESH_BINARY,11,2)
th3=cv.adaptiveThreshold(img,255,cv.ADAPTIVE_THRESH_GAUSSIAN_C,cv.THRESH_BINARY,11,2)

#To save the image in working directory
cv.imwrite('original.jpg',img)
cv.imwrite('global thesh.jpg',th1)
cv.imwrite('adaptive mean.jpg',th2)
cv.imwrite('adaptive gaussian.jpg',th3)

cv.imshow('global thresh(v=100)',th1)
cv.imshow('adaptive mean Inverted',th2)
cv.imshow('adaptive gaussian Threshold',th3)
cv.imshow('original',img)
if cv.waitkey(0) & 0*ff==27:
  cv.destroyAllWindows()