Image processing using pulse-coupled neural networks
Author(s)
Bibliographic Information
Image processing using pulse-coupled neural networks
（Perspectives in neural computing）
Springer, c1998
- pbk. : alk. paper
Available at / 12 libraries
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Hiroshima Institute of Technology Library図書館
pbk. : alk. paper007.1||I0111401907,
: pbk. : alk. paper007.1/I0111401907 -
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Note
Includes bibliographical references and index
Description and Table of Contents
Description
This volume reviews the theoretical foundations of pulse-coupled neural networks, and then discusses image processing applications including segmentation and foveation. It also looks at the PCNN ability to process logical arguments and at how to implement it into specialized hardware.
Table of Contents
Introduction.- PCNN Theory.- PCNN Image Processing.- The PCNN Kernel.- Target Recognition.- Dealing with Noise.- Feedback.- Object Isolation.- Foveation.- Image Fusion.- Hardware Realisation.- Miscellaneous Applications and Summary.- Index.
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