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" Image Processing using Pulse-Coupled Neural Networks : "
by Thomas Lindblad, Jason M. Kinser.
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BL
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| Record Number
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747881
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b567832
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| Main Entry
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by Thomas Lindblad, Jason M. Kinser.
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| Title & Author
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Image Processing using Pulse-Coupled Neural Networks : : Applications in Python\ by Thomas Lindblad, Jason M. Kinser.
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| Edition Statement
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3rd ed. 2013
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| Publication Statement
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Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint : Springer, 2013
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| Series Statement
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Biological and Medical Physics, Biomedical Engineering
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1 ressource en ligne (XXIV, 238 p.) : 142 illustrations, 9 illustrations in color
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| ISBN
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3642368778
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: 9783642368776
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| Contents
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Biological Models --; Programming in Python --; NumPy, SciPy and Python Image Library --; The PCNN and ICM --; Image Analysis --; Feedback and Isolation --; Recognition and Classification --; Texture Recognition --; Color and Multiple Channels --; Image Signatures --; Logic.
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| Abstract
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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.
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Biomedical engineering.
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Computer vision.
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Engineering.
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| Added Entry
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Jason M Kinser
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Thomas Lindblad
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