Image Processing Using Pulse-Coupled Neural Networks

✍ Scribed by Thomas Lindblad, Jason M. Kinser

Publisher: Springer
Year: 2005
Tongue: English
Leaves: 167
Edition: 2nd, rev. ed
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

This is the first book to explain and demonstrate the tremendous ability of Pulse-Coupled Neural Networks (PCNNs) when applied to the field of image processing. PCNNs and their derivatives are biologically inspired models that are powerful tools for extracting texture, segments, and edges from images. As these attributes form the foundations of most image processing tasks, the use of PCNNs facilitates traditional tasks such as recognition, foveation, and image fusion. PCNN technology has also paved the way for new image processing techniques such as object isolation, spiral image fusion, image signatures, and content-based image searches. This volume contains examples of several image processing applications, as well as a review of hardware implementations.

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