Edge Detection

Aim:

To perform edge detection using Sobel, Laplacian, and Canny edge detectors.

Software Required:

Anaconda - Python 3.7

Algorithm:

Step1:

Import the necessary modules.

Step2:

Load a image using imread() from cv2 module.

Step3:

Convert the image to grayscale.

Step4:

Using Sobel operator from cv2,detect the edges of the image.

Step5:

Using Laplacian operator from cv2,detect the edges of the image.

Step6:

Using Canny operator from cv2,detect the edges of the image.

Program:

Developed By : KAYALVIZHI M
Register Number :212220230024

# Import the packages

import cv2
import matplotlib.pyplot as plt

# Load the image, Convert to grayscale and remove noise

image=cv2.imread("pikachu.jpg")
image1=cv2.cvtColor(image,cv2.COLOR_BGR2GRAY)
cv2.imshow("IMAGE",image1)
cv2.waitKey(0)
cv2.destroyAllWindows()

img=cv2.GaussianBlur(image1,(3,3),0)
plt.figure(1)
plt.imshow(img,cmap='gray')
plt.title('Original')
plt.xticks([])
plt.yticks([])

# SOBEL EDGE DETECTOR

sobelx=cv2.Sobel(img,cv2.CV_64F,1,0,ksize=5)
sobely=cv2.Sobel(img,cv2.CV_64F,0,1,ksize=5)
sobelxy=cv2.Sobel(img,cv2.CV_64F,1,1,ksize=5)
plt.figure(1)
plt.imshow(sobelx,cmap='gray')
plt.title('Sobel x')
plt.xticks([])
plt.yticks([])
plt.imshow(sobely,cmap='gray')
plt.title('Sobel y')
plt.xticks([])
plt.yticks([])
plt.imshow(sobelxy,cmap='gray')
plt.title('Sobel xy')
plt.xticks([])
plt.yticks([])

# LAPLACIAN EDGE DETECTOR

laplacian=cv2.Laplacian(img,cv2.CV_64F)
plt.imshow(laplacian,cmap='gray')
plt.title('Laplacian')
plt.xticks([])
plt.yticks([])

# CANNY EDGE DETECTOR

canny_edges=cv2.Canny(img,120,150)
plt.imshow(canny_edges,cmap='gray')
plt.title('Canny Edges')
plt.xticks([])
plt.yticks([])