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Image Processing using Pulse-Coupled Neural Networks Applications in Python /

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 infor...

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Main Authors: Lindblad, Thomas. (Author, http://id.loc.gov/vocabulary/relators/aut), Kinser, Jason M. (http://id.loc.gov/vocabulary/relators/aut)
Corporate Author: SpringerLink (Online service)
Language:English
Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013.
Edition:3rd ed. 2013.
Series:Biological and Medical Physics, Biomedical Engineering,
Subjects:
Signal processing.
Image processing.
Speech processing systems.
Optical data processing.
Biophysics.
Biological physics.
Biomedical engineering.
Physics.
Signal, Image and Speech Processing.
Image Processing and Computer Vision.
Biological and Medical Physics, Biophysics.
Biomedical Engineering and Bioengineering.
Numerical and Computational Physics, Simulation.
Computer Imaging, Vision, Pattern Recognition and Graphics.
Online Access:https://doi.org/10.1007/978-3-642-36877-6
Table of Contents:
  • Biological Models
  • Programming in Python
  • NumPy, SciPy and Python Image Library
  • The PCNN and ICM
  • Image Analysis
  • Feedback and Isolation
  • Recognition and Classification
  • Texture Recognition
  • Color and Multiple Channels
  • Image Signatures
  • Logic.

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