edge detector.py

import cv2


image = cv2.imread('image.jpg',0)


height, width= image.shape


# Extract Sobel Edges- It emphasis Horizontal and Vertical Edges

sobel_x = cv2.Sobel(image, cv2.CV_64F, 0, 1, ksize=5)
sobel_y = cv2.Sobel(image, cv2.CV_64F, 1, 0, ksize=5)

cv2.imshow('Original', image)
cv2.waitKey(0)
cv2.imshow('Sobel X', sobel_x)  # horizontal
cv2.waitKey(0)
cv2.imshow('Sobel Y', sobel_y)  # vertical
cv2.waitKey(0)

sobel_OR = cv2.bitwise_or(sobel_x, sobel_y)
cv2.imshow('sobel_OR', sobel_OR)  # both combined
cv2.waitKey(0)

# Gets all orientation - length and breadth

laplacian = cv2.Laplacian(image, cv2.CV_64F)
cv2.imshow('Laplacian', laplacian)
cv2.waitKey(0)



canny = cv2.Canny(image, 50, 120)
cv2.imshow('Canny', canny)
cv2.waitKey(0)

cv2.destroyAllWindows()