Image Processing using Pulse-Coupled Neural Networks
Subtitle: Applications in Python
By: by Thomas Lindblad, Jason M. Kinser
Contributors: Kinser, Jason M.; SpringerLink (Online service)
Edition: 3rd ed. 2013.
Series: Biological and Medical Physics, Biomedical Engineering
Publisher: Springer Berlin Heidelberg; Imprint: Springer
Published: 2013
Place of publication: Berlin, Heidelberg
Language: eng
Format: [electronic resource] :
Number of pages: 238
ISBN-13: 9783642368776
Subjects: Computer Imaging, Vision, Pattern Recognition and Graphics; Image Processing and Computer Vision; Numerical and Computational Physics; Engineering; Computer vision; Biophysics and Biological Physics; Image and Speech Processing Signal; Biomedical engineering
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.
Table of contents: title: Biological Models; title: Programming in Python; title: NumPy, SciPy and Python Image Library; title: The PCNN and ICM; title: Image Analysis; title: Feedback and Isolation; title: Recognition and Classification; title: Texture Recognition; title: Color and Multiple Channels; title: Image Signatures; title: Logic.