To perform edge detection using Sobel, Laplacian, and Canny edge detectors.
Anaconda - Python 3.7
Import all the necessary modules for the program.
Load a image using imread() from cv2 module.
Convert the image to grayscale
Using Sobel operator from cv2,detect the edges of the image.
Using Laplacian operator from cv2,detect the edges of the image and Using Canny operator from cv2,detect the edges of the image.
Developed By:A K MOHAN RAJ Reg.No:212221230064
import cv2
import matplotlib.pyplot as plt
img=cv2.imread("fox.jpg",0)
gray=cv2.cvtColor(img,cv2.COLOR_GRAY2RGB)
gray = cv2.GaussianBlur(gray,(3,3),0)
sobelx = cv2.Sobel(gray,cv2.CV_64F,1,0,ksize=5)
plt.figure(figsize=(8,8))
plt.subplot(1,2,1)
plt.imshow(gray)
plt.title("Original Image")
plt.axis("off")
plt.subplot(1,2,2)
plt.imshow(sobelx)
plt.title("Sobel X axis")
plt.axis("off")
plt.show()
sobely = cv2.Sobel(gray,cv2.CV_64F,0,1,ksize=5)
plt.figure(figsize=(8,8))
plt.subplot(1,2,1)
plt.imshow(gray)
plt.title("Original Image")
plt.axis("off")
plt.subplot(1,2,2)
plt.imshow(sobely)
plt.title("Sobel Y axis")
plt.axis("off")
plt.show()
sobelxy = cv2.Sobel(gray,cv2.CV_64F,1,1,ksize=5)
plt.figure(figsize=(8,8))
plt.subplot(1,2,1)
plt.imshow(gray)
plt.title("Original Image")
plt.axis("off")
plt.subplot(1,2,2)
plt.imshow(sobelxy)
plt.title("Sobel XY axis")
plt.axis("off")
plt.show()
lap=cv2.Laplacian(gray,cv2.CV_64F)
plt.figure(figsize=(8,8))
plt.subplot(1,2,1)
plt.imshow(gray)
plt.title("Original Image")
plt.axis("off")
plt.subplot(1,2,2)
plt.imshow(lap)
plt.title("Laplacian Edge Detector")
plt.axis("off")
plt.show()
canny=cv2.Canny(gray,120,150)
plt.figure(figsize=(8,8))
plt.subplot(1,2,1)
plt.imshow(gray)
plt.title("Original Image")
plt.axis("off")
plt.subplot(1,2,2)
plt.imshow(canny)
plt.title("Canny Edge Detector")
plt.axis("off")
plt.show()
SOBEL EDGE DETECTOR
Sobel X Axis Edge Detection
Sobel Y Sxis Edge Detection
Sobel XY Sxis Edge Detection
LAPLACIAN EDGE DETECTOR
CANNY EDGE DETECTOR
Thus the edges are detected using Sobel, Laplacian, and Canny edge detectors.
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