Computer and Machine Vision, Image Processing

This text is intended to provide a balanced introduction to Machine Vision. Basic concepts are introduced with only essential mathematical elements. The details to allow implementation and use of vision algorithms in practical applications are provided, and engineering aspects of techniques are emphasized. This text intentionally omits theories of machine vision that do not have sufficient practical applications at this time.

This guide is an essential overview for anyone who would like to understand the techniques for Machine Vision analysis, including systems for industrial inspection, biomedical analysis, and much more.

This book offers novel multidisciplinary viewpoints on Photonic Neural Networks, illustrating recent advances in three types of computing methodologies: fluorescence energy transfer computing, spatial-photonic spin system, and photonic reservoir computing.