Image Processing using Pulse-Coupled Neural Networks

Drawing on how the mammalian visual cortex handles sight, this book presents image processing methods that are both effective and practical. The author first walks through the underlying neural theory and then turns it into digital models that can be applied to real images.

The text shows these models at work in image recognition, foveation, image fusion, and the extraction of information from pictures. The third edition responds to renewed international interest in pulse-based image processing, with revised sections describing several recently developed applications.

This edition also includes a set of Python scripts so readers can reproduce the results shown in the text and build their own applications from them.