palamakuladeepika / edge-detection

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 required packages.

Step2:

Load the image to operate on.

Step3:

Convert the image to grayscale image.

Step4:

Use Sobel operator along x,y and xy directions.

Step5:

Operate the image using Laplacian operator.

Step6:

Operate the image using Canny Edge operator.

Step7:

Show all the operated images output.

Program:

import cv2
import matplotlib.pyplot as plt
image = cv2.imread("car.png")
cv2.imshow("Original Image",image)
gray_image = cv2.cvtColor(image,cv2.COLOR_BGR2GRAY)
new_image = cv2.GaussianBlur(gray_image,(3,3),0)

## SOBEL EDGE DETETCTOR:
### SOBEL X:

sobelx = cv2.Sobel(new_image,cv2.CV_64F,1,0,ksize = 5)
plt.figure(figsize=(8,8))
plt.subplot(1,2,1)
plt.imshow(new_image,cmap = 'RdPu')
plt.title('RdPu')
plt.subplot(1,2,2)
plt.imshow(sobelx,cmap = 'RdPu')
plt.title("Sobel X")
plt.xticks([])
plt.yticks([])
plt.show()

### SOBEL Y:

sobely = cv2.Sobel(new_image,cv2.CV_64F,0,1,ksize = 5)
plt.figure(figsize = (8,8))
plt.subplot(1,2,1)
plt.imshow(new_image,cmap = 'OrRd')
plt.title('OrRd')
plt.subplot(1,2,2)
plt.imshow(sobely,cmap = 'OrRd')
plt.title("Sobel Y")
plt.xticks([])
plt.yticks([])
plt.show()

### SOBEL XY:

sobelxy = cv2.Sobel(new_image,cv2.CV_64F,1,1,ksize=5)
plt.figure(figsize = (8,8))
plt.subplot(1,2,1)
plt.imshow(new_image,cmap = 'BuPu')
plt.title('BuPu')
plt.subplot(1,2,2)
plt.imshow(sobelxy,cmap = 'BuPu')
plt.title('Sobel XY')
plt.xticks([])
plt.yticks([])
plt.show()


## LAPLACIAN EDGE DETECTOR:

laplacian = cv2.Laplacian(new_image,cv2.CV_64F)
plt.figure(figsize = (8,8))
plt.subplot(1,2,1)
plt.imshow(new_image,cmap = 'bone')
plt.title('bone')
plt.subplot(1,2,2)
plt.imshow(laplacian,cmap = 'bone')
plt.title('Laplacian')
plt.xticks([])
plt.yticks([])
plt.show()


## CANNY EDGE DETECTOR:

canny_edge = cv2.Canny(new_image,120,150)
plt.figure(figsize = (8,8))
plt.subplot(1,2,1)
plt.imshow(new_image,cmap = 'gist_gray')
plt.title('gist_gray')
plt.subplot(1,2,2)
plt.imshow(canny_edge,cmap = 'gist_gray')
plt.title('Canny Edges')
plt.xticks([])
plt.yticks([])
plt.show()

Output:

SOBEL EDGE DETECTOR

SOBEL X

SOBEL Y

SOBEL XY

LAPLACIAN EDGE DETECTOR

CANNY EDGE DETECTOR

Result:

Thus the edges are detected using Sobel, Laplacian, and Canny edge detectors.