To perform edge detection using Sobel, Laplacian, and Canny edge detectors.
Anaconda - Python 3.7
Import the necessary modules.
For performing edge detection on a image.
- Sobel
sobelx=cv2.Sobel(img,cv2.CV_64F,1,0,5)
sobely=cv2.Sobel(img,cv2.CV_64F,0,1,5)
sobelxy=cv2.Sobel(img,cv2.CV_64F,1,1,5)
- Laplacian
Laplacian=cv2.Laplacian(img,cv2.CV_64F)
- Canny
canny=cv2.Canny(img,120,150)
Display all the images with their respective edge detected images.
# Developed By: Aditya JV
# Register Number: 212220230002
# Import the packages
import cv2
import numpy as np
import matplotlib.pyplot as plt
# Load the image, Convert to grayscale and remove noise
image1=cv2.imread ('leaf.jpg')
gray = cv2.cvtColor(image1,cv2.COLOR_BGR2GRAY)
plt.title('GRAY IMAGE')
plt.imshow(gray,cmap = 'gray')
# SOBEL EDGE DETECTOR
img = cv2.GaussianBlur(gray,(3,3),0)
sobelx = cv2.Sobel(gray,cv2.CV_64F,1,0,ksize=5)
sobely = cv2.Sobel(gray,cv2.CV_64F,0,1,ksize=5)
sobelxy =cv2.Sobel(gray,cv2.CV_64F,1,1,ksize=5)
plt.figure(1)
plt.subplot(2,2,1)
plt.imshow(gray,cmap = 'gray')
plt.title('Original'), plt.xticks([]), plt.yticks([])
plt.subplot(2,2,2)
plt.imshow(sobelx,cmap='gray')
plt.title('sobelx')
plt.xticks([]), plt.yticks([])
plt.subplot(2,2,3)
plt.imshow(sobely,cmap='gray')
plt.title('sobely')
plt.xticks([]), plt.yticks([])
plt.subplot(2,2,4)
plt.imshow(sobelxy,cmap='gray')
plt.title('sobelxy')
plt.xticks([]), plt.yticks([])
plt.show()
# LAPLACIAN EDGE DETECTOR
laplacian = cv2.Laplacian(gray,cv2.CV_64F)
plt.imshow(laplacian,cmap='gray')
plt.title('laplacian')
plt.show()
# CANNY EDGE DETECTOR
canny_edges = cv2.Canny(gray, 120, 150)
plt.imshow(canny_edges,cmap='gray')
plt.title('canny_edges')
plt.show()
Thus the edges are detected using Sobel, Laplacian, and Canny edge detectors.