File Format | PDF
File Size | 5.89 MB
Pages | 169
Language | English
Category | Networks
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Description: 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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Image Processing Using Pulse-Coupled Neural Networks