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
Clasificación:Libro Electrónico
Autores principales: Lindblad, Thomas (Autor), Kinser, Jason M. (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013.
Edición:3rd ed. 2013.
Colección:Biological and Medical Physics, Biomedical Engineering,
Temas:
Signal processing.
Computer vision.
Biophysics.
Biomedical engineering.
Mathematical physics.
Image processing-Digital techniques.
Signal, Speech and Image Processing .
Computer Vision.
Biomedical Engineering and Bioengineering.
Theoretical, Mathematical and Computational Physics.
Computer Imaging, Vision, Pattern Recognition and Graphics.
Acceso en línea:Texto Completo
Descripción
Sumario: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.
Descripción Física:XXIV, 238 p. online resource.
ISBN:9783642368776
ISSN:2197-5647

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