Image processing using pulse-coupled neural networks: applications in Python

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 infor...

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Detalles Bibliográficos
Autores principales: Lindblad, Thomas, Kinser, Jason M
Lenguaje:eng
Publicado: Springer 2013
Materias:
Engineering
Acceso en línea:https://dx.doi.org/10.1007/978-3-642-36877-6
http://cds.cern.ch/record/1555627
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author Lindblad, Thomas
Kinser, Jason M
author_facet Lindblad, Thomas
Kinser, Jason M
author_sort Lindblad, Thomas
collection CERN
description 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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institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2013
publisher Springer
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spelling cern-15556272021-04-21T22:37:08Zdoi:10.1007/978-3-642-36877-6http://cds.cern.ch/record/1555627engLindblad, ThomasKinser, Jason MImage processing using pulse-coupled neural networks: applications in PythonEngineeringImage 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.Springeroai:cds.cern.ch:15556272013
spellingShingle Engineering
Lindblad, Thomas
Kinser, Jason M
Image processing using pulse-coupled neural networks: applications in Python
title Image processing using pulse-coupled neural networks: applications in Python
title_full Image processing using pulse-coupled neural networks: applications in Python
title_fullStr Image processing using pulse-coupled neural networks: applications in Python
title_full_unstemmed Image processing using pulse-coupled neural networks: applications in Python
title_short Image processing using pulse-coupled neural networks: applications in Python
title_sort image processing using pulse-coupled neural networks: applications in python
topic Engineering
url https://dx.doi.org/10.1007/978-3-642-36877-6
http://cds.cern.ch/record/1555627
work_keys_str_mv AT lindbladthomas imageprocessingusingpulsecoupledneuralnetworksapplicationsinpython
AT kinserjasonm imageprocessingusingpulsecoupledneuralnetworksapplicationsinpython

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