edge-detection's Introduction

EDGE-DETECTION

Aim:

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

Software Required:

Anaconda - Python 3.7

Algorithm:

Step1:

Import all the necessary modules for the program.

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

code

# Developed by:Arikatla Hari Veera Prasad
# Register Number:212223240014
import cv2
# Read the image
image = cv2.imread('username.jpg')
gray_image = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)

# Apply Gaussian blur
img_blurred = cv2.GaussianBlur(gray_image, (3, 3), 0)

# Sobel edge detection
sobelx = cv2.Sobel(img_blurred, cv2.CV_64F, 1, 0, ksize=5)
sobely = cv2.Sobel(img_blurred, cv2.CV_64F, 0, 1, ksize=5)
sobelxy = cv2.Sobel(img_blurred, cv2.CV_64F, 1, 1, ksize=5)

# Laplacian edge detection
laplacian = cv2.Laplacian(img_blurred, cv2.CV_64F)

# Canny edge detection
canny_edges = cv2.Canny(img_blurred, 120, 150)

# Display images
cv2.imshow('Original', gray_image)
cv2.imshow('Sobel X', sobelx)
cv2.imshow('Sobel Y', sobely)
cv2.imshow('Sobel XY', sobelxy)
cv2.imshow('Laplacian', laplacian)
cv2.imshow('Canny Edges', canny_edges)

cv2.waitKey(0)
cv2.destroyAllWindows()