

An edition of Image Processing using Pulse-Coupled Neural Networks (2010)
By Thomas Lindblad
Publish Date
Jan 08, 2013
Publisher
Springer
Language
-
Pages
238
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.
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, Image processing, Neural networks (computer science)