otsu_thresholding.py

# Python program to illustrate 
# Otsu thresholding type on an image 
  
# organizing imports 
import os

import cv2          
import numpy as np     

FILE_PATH = os.path.dirname(__file__)
# path to input image is specified and 
# image is loaded with imread command 
for i in ['input1.jpg', 'input_book_image.jpg']:
    image1 = cv2.imread(os.path.join(FILE_PATH, i))
    
    # cv2.cvtColor is applied over the 
    # image input with applied parameters 
    # to convert the image in grayscale 
    img = cv2.cvtColor(image1, cv2.COLOR_BGR2GRAY) 
    
    # applying Otsu thresholding 
    # as an extra flag in binary  
    # thresholding      
    ret, thresh1 = cv2.threshold(img, 120, 255, cv2.THRESH_BINARY + 
                                                cv2.THRESH_OTSU)      
    
    # the window showing output image          
    # with the corresponding thresholding          
    # techniques applied to the input image     
    cv2.imshow('Otsu Threshold', thresh1)          
        
    # De-allocate any associated memory usage          
    if cv2.waitKey(0) & 0xff == 27: 
        cv2.destroyAllWindows()