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Cellular Neural Networks and Image Processing: The Science of Cellular Local Rules
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Authors: Yang, Tao (University of California at Berkeley) 
Book Description:
This book applies the design principles of cellular image operators to a hardware platform called cellular neural network (CNN). CNN is a member of the hardware family called vision chips. Based on state-of-the-art technology, a vision chip is defined as a VLSI chip that can perform image processing tasks. CNN is mostly nourished from two main fields: One is cellular automata and the other is neural network. As an interdisciplinary product, the study of CNN mainly focuses on finding specialized design principle called template design. CNN utilizes cellular hardware structures to gain ultrahigh image processing speed.

Table of Contents:
Introduction; Design Principles of CNN; CNN Implementations of Local Rule Classes; CNN as Image Processing Engine; Type-I Bifurcation of Local Rules; Type-II Bifurcation of Local Rules; References; Index

   Binding: Hardcover
   Pub. Date: 2002
   ISBN: 1-59033-335-7
   Status: AV
  
Status Code Description
AN Announcing
FM Formatting
PP Page Proofs
FP Final Production
EP Editorial Production
PR At Prepress
AP At Press
AV Available
  
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Cellular Neural Networks and Image Processing: The Science of Cellular Local Rules