Simple Image Thresholdin.py

#importing the required libraries 
import numpy as np 
import cv2 
import matplotlib.pyplot as plt 
%matplotlib inline 

#here 0 means that the image is loaded in gray scale format
gray_image = cv2.imread('index.png',0)

ret,thresh_binary = cv2.threshold(gray_image,127,255,cv2.THRESH_BINARY)
ret,thresh_binary_inv = cv2.threshold(gray_image,127,255,cv2.THRESH_BINARY_INV)
ret,thresh_trunc = cv2.threshold(gray_image,127,255,cv2.THRESH_TRUNC)
ret,thresh_tozero = cv2.threshold(gray_image,127,255,cv2.THRESH_TOZERO)
ret,thresh_tozero_inv = cv2.threshold(gray_image,127,255,cv2.THRESH_TOZERO_INV)

#DISPLAYING THE DIFFERENT THRESHOLDING STYLES
names = ['Oiriginal Image','BINARY','THRESH_BINARY_INV','THRESH_TRUNC','THRESH_TOZERO','THRESH_TOZERO_INV']
images = gray_image,thresh_binary,thresh_binary_inv,thresh_trunc,thresh_tozero,thresh_tozero_inv

for i in range(6):
    plt.subplot(2,3,i+1),plt.imshow(images[i],'gray')
    plt.title(names[i])
    plt.xticks([]),plt.yticks([])
    
plt.show()