14.gradients.py

import cv2 as cv
import numpy as np



#img = cv.imread('Photos/moscow2.jpg')
img = cv.imread('Photos/forest.jpg')
cv.imshow('Image', img)




# convert to gray
gray = cv.cvtColor(img, cv.COLOR_BGR2GRAY)
cv.imshow('Gray', gray)






# laplacian edges
lap = cv.Laplacian(gray, cv.CV_64F)
lap = np.uint8(np.absolute(lap))
cv.imshow('Laplacian', lap)






# Sobel 
sobelx = cv.Sobel(gray, cv.CV_64F, 1, 0)
sobely = cv.Sobel(gray, cv.CV_64F, 0, 1)
sobel_combined = cv.bitwise_or(sobelx, sobely)

cv.imshow('Sobelx', sobelx)
cv.imshow('Sobely', sobely)
cv.imshow('Combined Sobel', sobel_combined)






# Canny 
canny = cv.Canny(gray, 150, 175)
cv.imshow('Canny', canny)









cv.waitKey(0)