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Feature Extraction and Image Processing for Computer Vision

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Feature Extraction and Image Processing for Computer Vision is an essential guide to the implementation of image processing and computer vision techniques, with tutorial introductions and sample code in Matlab. Algorithms are presented and fully explained to enable complete understanding of the methods and techniques demonstrated. As one reviewer noted, The main strength o Feature Extraction and Image Processing for Computer Vision is an essential guide to the implementation of image processing and computer vision techniques, with tutorial introductions and sample code in Matlab. Algorithms are presented and fully explained to enable complete understanding of the methods and techniques demonstrated. As one reviewer noted, The main strength of the proposed book is the exemplar code of the algorithms. Fully updated with the latest developments in feature extraction, including expanded tutorials and new techniques, this new edition contains extensive new material on Haar wavelets, Viola-Jones, bilateral filtering, SURF, PCA-SIFT, moving object detection and tracking, development of symmetry operators, LBP texture analysis, Adaboost, and a new appendix on color models. Coverage of distance measures, feature detectors, wavelets, level sets and texture tutorials has been extended.


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Feature Extraction and Image Processing for Computer Vision is an essential guide to the implementation of image processing and computer vision techniques, with tutorial introductions and sample code in Matlab. Algorithms are presented and fully explained to enable complete understanding of the methods and techniques demonstrated. As one reviewer noted, The main strength o Feature Extraction and Image Processing for Computer Vision is an essential guide to the implementation of image processing and computer vision techniques, with tutorial introductions and sample code in Matlab. Algorithms are presented and fully explained to enable complete understanding of the methods and techniques demonstrated. As one reviewer noted, The main strength of the proposed book is the exemplar code of the algorithms. Fully updated with the latest developments in feature extraction, including expanded tutorials and new techniques, this new edition contains extensive new material on Haar wavelets, Viola-Jones, bilateral filtering, SURF, PCA-SIFT, moving object detection and tracking, development of symmetry operators, LBP texture analysis, Adaboost, and a new appendix on color models. Coverage of distance measures, feature detectors, wavelets, level sets and texture tutorials has been extended.

31 review for Feature Extraction and Image Processing for Computer Vision

  1. 5 out of 5

    Kamal

  2. 4 out of 5

    Dindar Sindi

  3. 5 out of 5

    Matt Leines

  4. 5 out of 5

    Alexandru Rosianu

  5. 5 out of 5

    Gabriel

  6. 4 out of 5

    Mahibha

  7. 5 out of 5

    Sofía Parrondo

  8. 5 out of 5

    Kaiser

  9. 5 out of 5

    Subhajit Das

  10. 5 out of 5

    James

  11. 5 out of 5

    Boyu_Chen

  12. 5 out of 5

    Rado

  13. 4 out of 5

    Matt

  14. 5 out of 5

    Jacqueline

  15. 4 out of 5

    Voda

  16. 4 out of 5

    Andrew Bartels

  17. 5 out of 5

    Huyen Chip

  18. 4 out of 5

    Mo

  19. 4 out of 5

    Jose-Alberto

  20. 4 out of 5

    Josep-Angel Herrero Bajo

  21. 4 out of 5

    Black_michael

  22. 5 out of 5

    Victor

  23. 5 out of 5

    LI Zhikui

  24. 5 out of 5

    Azzaz

  25. 5 out of 5

    Wanderlust

  26. 4 out of 5

    Matej

  27. 4 out of 5

    Nourhan Jardali

  28. 4 out of 5

    Zachary

  29. 4 out of 5

    Hāreer Hāreer

  30. 5 out of 5

    Cameron Keenan

  31. 5 out of 5

    Jeyanthi Anand

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