import numpy as np
import cv2

img = cv2.imread('../Images/bookpage.jpg')
retval, threshold = cv2.threshold(img, 12, 255, cv2.THRESH_BINARY)

grayscaled = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
retval2, threshold2 = cv2.threshold(grayscaled, 12, 255, cv2.THRESH_BINARY)
gaus = cv2.adaptiveThreshold(
    grayscaled, 255, cv2.ADAPTIVE_THRESH_GAUSSIAN_C, cv2.THRESH_BINARY, 115, 1)

retval3, otsu = cv2.threshold(grayscaled, 125,255,cv2.THRESH_BINARY+cv2.THRESH_OTSU)


cv2.imshow('original', img)
cv2.imshow('threshold', threshold)
cv2.imshow('threshold2', threshold2)
cv2.imshow('gaus', gaus)
cv2.imshow('otsu', otsu)



cv2.waitKey(0)
cv2.destroyAllWindows()
