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Lindblad / Kinser

Image Processing using Pulse-Coupled Neural Networks

Applications in Python
This book reviews the neural theory and translates them into digital models.
3rd ed. 2013 2015. Buch. xxiv, 238 S.: Bibliographien. Softcover
Springer ISBN 978-3-642-44033-5
Format (B x L): 15,5 x 23,5 cm
Gewicht: 409 g
In englischer Sprache
Das Werk ist Teil der Reihe:
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.

Audience

Research

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139,99 €
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Webcode: beck-shop.de/bhwkjj
Explains how to learn from nature image recognition Applies pulse-coupled neural networks to image processing Displays many applications accompanied by Python scripts Considers a wide variety of image processing applications