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

✍ Scribed by Thomas Lindblad, Jason M. Kinser (auth.)

Publisher: Springer-Verlag Berlin Heidelberg
Year: 2013
Tongue: English
Leaves: 248
Series: Biological and Medical Physics, Biomedical Engineering
Edition: 3
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

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 Matter....Pages i-xxiv
Biological Models....Pages 1-11
Programming in Python....Pages 13-33
NumPy, SciPy and Python Image Library....Pages 35-56
The PCNN and ICM....Pages 57-86
Image Analysis....Pages 87-105
Feedback and Isolation....Pages 107-125
Recognition and Classification....Pages 127-153
Texture Recognition....Pages 155-170
Colour and Multiple Channels....Pages 171-185
Image Signatures....Pages 187-199
Logic....Pages 201-208
Back Matter....Pages 209-238

✦ Subjects

Signal, Image and Speech Processing;Image Processing and Computer Vision;Biophysics and Biological Physics;Biomedical Engineering;Numerical and Computational Physics;Computer Imaging, Vision, Pattern Recognition and Graphics

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