EDGEDETECTION

Aim:

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

Software Required:

Anaconda - Python 3.7

Algorithm:

Step1:

Import the required packages for further process.

Step2:

Read the image and convert the rgb image to gray scale image.

Step3:

Use filters for smoothing the image to reduce the noise.

Step4:

Apply the respective filters - Sobel, Laplacian edge detector and Canny edge detector.

Step5:

Display the filtered image using plot and imshow.

Program:

Developed by: RASIKA.M
register number:212222230117

Import the packages

import cv2
import matplotlib.pyplot as plt
image = cv2.imread("starbucks.jpeg")
gray_image = cv2.cvtColor(image,cv2.COLOR_BGR2GRAY)
new_image = cv2.GaussianBlur(gray_image,(3,3),0)

SOBEL EDGE DETECTOR:

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

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()