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Adaptive and Neural Methods for Image Segmentation (2000)  (Make Corrections)  (1 citation)
Joydeep Ghosh



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Abstract: Introduction The tremendous amount of research in image processing and analysis over the past three decades has been inuenced not only by physiological or psychophysical discoveries and psychological observations about perception by living beings, but also by advances in signal processing, computational mathematics, pattern recognition and arti cial intelligence. Some researchers in the rejuvenated eld of neural networks are also attempting to develop useful models of biological and machine... (Update)

Context of citations to this paper:   More

.... include Fourier statistics, Covariance statistics, label statistics and probability density functions [29] Neural network methods [21], model based methods, and fuzzy set based methods [41] have also been actively pursued. 2.2 Video Segmentation Videos have additional...

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BibTeX entry:   (Update)

J. Ghosh. Adaptive and neural methods for image segmentation. In Al Bovik, editor, Handbook of Image and Video Processing, chapter 4.10, pages 401--414. Academic Press, 2000. BIBLIOGRAPHY 80 http://citeseer.ist.psu.edu/ghosh00adaptive.html   More

@misc{ ghosh00adaptive,
  author = "J. Ghosh",
  title = "Adaptive and neural methods for image segmentation",
  text = "J. Ghosh. Adaptive and neural methods for image segmentation. In Al Bovik,
    editor, Handbook of Image and Video Processing, chapter 4.10, pages 401--414.
    Academic Press, 2000. BIBLIOGRAPHY 80",
  year = "2000",
  url = "citeseer.ist.psu.edu/ghosh00adaptive.html" }
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