Image Processing using Pulse-Coupled Neural Networks, 3rd Edition

  • Published By:
  • ISBN-10: 3642368778
  • ISBN-13: 9783642368776
  • DDC: 621.367
  • Grade Level Range: College Freshman - College Senior
  • 238 Pages | eBook
  • Original Copyright 2013 | Published/Released May 2014
  • This publication's content originally published in print form: 2013

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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.

Table of Contents

Front Cover.
Other Frontmatter.
Other Frontmatter.
Title Page.
Copyright Page.
Preface to the Third Edition.
Preface to the Second Edition.
Preface to the First Edition.
Python Codes.
1: Biological Models.
2: Programming in Python.
3: NumPy, SciPy and Python Image Library.
4: The PCNN and ICM.
5: Image Analysis.
6: Feedback and Isolation.
7: Recognition and Classification.
8: Texture Recognition.
9: Colour and Multiple Channels.
10: Image Signatures.
11: Logic.
Image Converters.
The Geometry Module.
The Fractional Power Filter.
Principal Component Analysis.