To display an image with edges.

This code loads an image file, converts it to grayscale, applies a Gaussian blur to reduce noise, and then uses the Canny edge detection algorithm to find edges in the image.

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import cv2

Load an image from file

img = cv2.imread("example.jpg")

Convert the image to grayscale

gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)

Apply a Gaussian blur to the image to reduce noise

blurred = cv2.GaussianBlur(gray, (5, 5), 0)

Use the Canny edge detection algorithm to find edges in the image

edges = cv2.Canny(blurred, 100, 200)

Display the original and processed images

cv2.imshow("Original", img) cv2.imshow("Edges", edges) cv2.waitKey(0) cv2.destroyAllWindows()

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