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Image Processing using Pulse-Coupled Neural Networks : Applications in Python / by Thomas Lindblad, Jason M. Kinser.

Por: Colaborador(es): Tipo de material: TextoTextoSeries Biological and Medical Physics, Biomedical EngineeringEditor: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013Edición: 3rd ed. 2013Descripción: xxiv, 238 páginas 142 ilustraciones, 9 ilustraciones en color. recurso en líneaTipo de contenido:
  • texto
Tipo de medio:
  • computadora
Tipo de portador:
  • recurso en línea
ISBN:
  • 9783642368776
Formatos físicos adicionales: Edición impresa:: Sin títuloClasificación LoC:
  • TK5102.9
Recursos en línea:
Contenidos:
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.
Resumen: 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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Springer eBooks

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.

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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