Image Processing using Pulse-Coupled Neural Networks - Applications in Python (Hardcover, 3rd ed. 2013)

Image processing algorithms based on the mammalian visual cortex are powerful tools for extraction information and manipulating images. This book reviews the neural theory and translates them into digital models. Applications are given in areas of image recognition, foveation, image fusion and information extraction. The third edition reflects renewed international interest in pulse image processing with updated sections presenting several newly developed applications. This edition also introduces a suite of Python scripts that assist readers in replicating results presented in the text and to further develop their own applications.

General

Imprint:	Springer-Verlag
Country of origin:	Germany
Series:	Biological and Medical Physics, Biomedical Engineering
Release date:	May 2013
First published:	2013
Authors:	Thomas Lindblad • Jason M. Kinser
Dimensions:	235 x 155 x 20mm (L x W x T)
Format:	Hardcover
Pages:	238
Edition:	3rd ed. 2013
ISBN-13:	978-3-642-36876-9
Categories:	Books > Medicine > Nursing & ancillary services > Biomedical engineering > General Books > Science & Mathematics > Mathematics > Applied mathematics > General Books > Science & Mathematics > Physics > Applied physics & special topics > Biophysics Books > Computing & IT > Applications of computing > Artificial intelligence > Computer vision Books > Computing & IT > Applications of computing > Image processing > General Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Applied optics > General
LSN:	3-642-36876-X
Barcode:	9783642368769

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