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Engineering - Signals & Communication | Image Processing using Pulse-Coupled Neural Networks - Applications in Python

Image Processing using Pulse-Coupled Neural Networks

Applications in Python

Lindblad, Thomas, Kinser, Jason

3rd ed.

3rd ed. 2013, XXIV, 238 p. 142 illus., 9 illus. in color.

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  • Explains how to learn from nature image recognition
  • Applies pulse-coupled neural networks to image processing
  • Displays many applications accompanied by Python scripts
  • Considers a wide variety of image processing applications
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.

Content Level » Research

Keywords » Applications of Image RecognitionI - Biomimetic Image Processing - Digital Models for Image Recognition - Image Fusion - Image Processing Algorithms - Information Extraction - Mammalian Visual Cortex - Manipulating Images - Neural Theory - Python Scripts

Related subjects » Biomedical Engineering - Biophysics & Biological Physics - Image Processing - Signals & Communication - Theoretical, Mathematical & Computational Physics

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