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Cellular Edge Detection

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October 25, 2017
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Cellular Edge Detection

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Kath

October 25, 2017
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Transcript

  1. CELLULAR EDGE DETECTION FOR GRAYSCALE & BINARY IMAGES

  2. None
  3. None

  4. CELLULAR AUTOMATON BINARY IMAGE

  5. CELLULAR AUTOMATON GREYSCALE IMAGE

  6. LEARNING AUTOMATON Von-neumann Moore

  7. 50% 50% LEARNING AUTOMATON Von-neumann Moore

  8. 10% 90% LEARNING AUTOMATON Von-neumann Moore

  9. None

  10. 1200x800 Original 1200x800 Output image Cellular automata 1200x800 Learning automata

    1200x800

  11. 1200x800 Output image Cellular automata 1200x800 Learning automata 1200x800 ..update

    output image every generation Execute rules for N generations..

  12. Final 1200x800 1200x800 Output image

  13. EXPERIMENTS

  14. None
  15. None

  16. CED CANNY PREWITT

  17. None

  18. CED CANNY PREWITT

  19. CED CANNY PREWITT MSE PSNR (dB) MSE PSNR (dB) MSE

    PSNR (dB) 1.368 6.8011 1.369 6.8075 1.367 6. 8017 3.493 6.7320 3.491 6.7346 3.488 6.7382 1.804 5.6016 1.802 5.6056 1.800 5.6120

  20. LIMITATIONS

  21. Manual adjustment of threshold Defeats the purpose (maybe) Slow for

    big images
  22. None

  23. SUPPORTING SLIDES

  24. Pseudocode

  25. Reinforcement signal