Edge detection – OpenCV 3.4 with python 3 Tutorial 18

Image edge detection:

import cv2
import numpy as np

img = cv2.imread("white_panda.jpg", cv2.IMREAD_GRAYSCALE)
img = cv2.GaussianBlur(img, (11, 11), 0)

sobelx = cv2.Sobel(img, cv2.CV_64F, 1, 0)
sobely = cv2.Sobel(img, cv2.CV_64F, 0, 1)

laplacian = cv2.Laplacian(img, cv2.CV_64F, ksize=5)

canny = cv2.Canny(img, 100, 150)

cv2.imshow("Image", img)
cv2.imshow("Sobelx", sobelx)
cv2.imshow("Sobely", sobely)
cv2.imshow("Laplacian", laplacian)
cv2.imshow("Canny", canny)

cv2.waitKey(0)
cv2.destroyAllWindows()

 

Real time video edge detection:

import cv2
import numpy as np

cap = cv2.VideoCapture(0)

while True:
    _, frame = cap.read()
    frame = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
    blurred_frame = cv2.GaussianBlur(frame, (5, 5), 0)

    laplacian = cv2.Laplacian(blurred_frame, cv2.CV_64F)
    canny = cv2.Canny(blurred_frame, 100, 150)

    cv2.imshow("Frame", frame)
    cv2.imshow("Laplacian", laplacian)
    cv2.imshow("Canny", canny)


    key = cv2.waitKey(1)
    if key == 27:
        break

cap.release()
cv2.destroyAllWindows()

 

Files:

1. white_panda.jpg