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

By: Lindblad, Thomas [author.].
Contributor(s): Kinser, Jason M [author.] | SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Biological and Medical Physics, Biomedical Engineering: Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013Edition: 3rd ed. 2013.Description: XXIV, 238 p. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783642368776.Subject(s): Engineering | Computer graphics | Image processing | Physics | Biophysics | Biological physics | Biomedical engineering | Engineering | Signal, Image and Speech Processing | Image Processing and Computer Vision | Biophysics and Biological Physics | Biomedical Engineering | Numerical and Computational Physics | Computer Imaging, Vision, Pattern Recognition and GraphicsAdditional physical formats: Printed edition:: No titleDDC classification: 621.382 Online resources: Click here to access online
Contents:
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.
In: Springer eBooksSummary: 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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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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