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.

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Pulse-coupled neural networks represent a new and exciting advance in image processing research. When exposed to grey scale or colour images they produce a series of binary pulse images which allow the content of the image to be assessed much more accurately than from the origina l. In this volume Thomas Lindblad and Jason Kinser provide a much need ed introduction to the topic of PCNNs. They review the theoretical fou ndations, and then look at a number of image processing applications i ncluding segmentation, edge extraction, texture extraction, object ide ntification, object isolation, motion processing, foveation, noise sup pression and image fusion. They also look at the PCNNs ability to proc ess logical arguments and at how to implement it in specialised hardwa re.

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