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Image Processing using Pulse-Coupled Neural Networks [electronic resource] /
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 original. In this volume Thomas Lindblad and Jason Kinser provide a much needed introduction to the topic of PCNNs. They review the theoretical foundations, and then look at a number of image processing applications including segmentation, edge extraction, texture extraction, object identification, object isolation, motion processing, foveation, noise suppression and image fusion. They also look at the PCNNs ability to process logical arguments and at how to implement it in specialised hardware. It will be of particular interest to researchers and practitioners working in image processing, especially those involved with medical, military or industrial applications. It will also be of interest to graduate-level students.
| Main Authors: | , , |
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| Format: | Texto biblioteca |
| Language: | eng |
| Published: |
London : Springer London : Imprint: Springer,
1998
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| Subjects: | Computer science., Health informatics., Artificial intelligence., Statistical physics., Dynamical systems., Computer Science., Artificial Intelligence (incl. Robotics)., Health Informatics., Statistical Physics, Dynamical Systems and Complexity., |
| Online Access: | http://dx.doi.org/10.1007/978-1-4471-3617-0 |
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