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Image Processing using Pulse-Coupled Neural Networks

  • Thomas Lindblad

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Image processing algorithms based on the mammalian visual cortex are powerful tools for extraction information and manipulating images. This book reviews the neural theory and translates them into digital models. Applications are given in areas of image recognition, foveation, image fusion and information extraction. The third edition reflects renewed international interest in pulse image processing with updated sections presenting several newly developed applications. This edition also introduces a suite of Python scripts that assist readers in replicating results presented in the text and to further develop their own applications.

Genres

  • Computer Imaging, Vision, Pattern Recognition and Graphics
  • Image Processing and Computer Vision
  • Numerical and Computational Physics
  • Engineering
  • Computer vision
  • Biophysics and Biological Physics
  • Image and Speech Processing Signal
  • Biomedical engineering
  • Image processing
  • Neural networks (computer science)
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About the author

  • Thomas Lindblad

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    0 ratings · 9 works

Editions

  • Edition cover

    Springer

    Jun 23, 2015

  • Edition cover

    Springer

    Jan 08, 2013

  • Edition cover

    Springer

    Oct 14, 2010

  • Edition cover

    3rd ed. 2013.

    Springer Berlin Heidelberg, Imprint: Springer

    2013

  • Edition cover

    Springer

    2013

  • Edition cover

    Springer

    2013