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Sobel Edge Detection

Unsolved
Computer Vision

Difficulty: 6 | Problem written by mesakarghm
Problem reported in interviews at

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Write a function edge_detection(image) which takes in an input grayscale image (2D numpy array), performs the edge detection using the Sobel opertaion, and returns the resultant image (2D numpy array).

Sample Input:
<class 'numpy.ndarray'>
image: [[ 1 7 119 13 12] [ 11 21 61 81 91] [ 5 66 6 5 5] [ 5 66 166 145 155] [ 5 66 136 145 155]]

Expected Output:
<class 'numpy.ndarray'>
[[ 18 121 71 120 81] [ 51 91 77 60 74] [ 88 99 62 62 97] [107 186 129 168 213] [ 85 210 240 248 255]]

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Jump to comment-154
sapna_sharma • 3¬†months ago

0

I have followed thess Steps:
    1. Take a grayscale image
    2. To get an output image of the same size , we pad the image with zeros
    3. Convolve the image with the x and y kernels for Sobel
    4. Take the gradients for edge detection
    5. Final output
  Even though test cases are not passing but is working well on images.(code is submitted)

Ready.

Input Test Case

Please enter only one test case at a time
numpy has been already imported as np (import numpy as np)