https://github.com/avs123a/image-edge-detection-demo

Demo of image edges detection using different operators, norms and custom masks
https://github.com/avs123a/image-edge-detection-demo

demo edge-computing edge-detection image-analysis image-manipulation image-processing jupyter-notebook numpy python python27 python3

Last synced: 4 months ago
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Demo of image edges detection using different operators, norms and custom masks

• Host: GitHub
• URL: https://github.com/avs123a/image-edge-detection-demo
• Owner: avs123a
• License: mit
• Created: 2020-04-12T08:43:46.000Z (about 6 years ago)
• Default Branch: master
• Last Pushed: 2020-04-29T17:55:41.000Z (about 6 years ago)
• Last Synced: 2025-01-19T07:42:10.895Z (over 1 year ago)
• Topics: demo, edge-computing, edge-detection, image-analysis, image-manipulation, image-processing, jupyter-notebook, numpy, python, python27, python3
• Language: Jupyter Notebook
• Size: 528 KB
• Stars: 0
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# Image-edge-detection-demo

Demo of image edges detection using different operators, norms and custom masks

Includes:

Prewitt operator,

Sobel operator,

Roberts operator,

Laplace operator

There are next norms: first norm (square root of square's sums), second norm (max). These norms are used for Prewitt, Sobel and Roberts operators.

And there are demos for applying custom masks to image.

IMPORTANT NOTE!!!

before using you must change image directory.