Image Recognition and Classification

• Introduction; linear filters for pattern recognition; nonlinear filtering for image recognition; distortion invariant pattern recognition systems; image recognition based on statistical detection theory; neural networks based automatic target recognition; hyperspectral automatic object recognition; laser radar automatic target recognition; radar signature recognition; wavelets for image recognition; pattern recognition for anticounterfeiting and security systems; applications of pattern recognition techniques to road sign recognition and tracking; optical and optoelectronic implementation of linear and nonlinear filters.

"This book presents important recent advances in sensors, image processing algorithms, and systems for image recognition and classification with diverse applications in military, aerospace, security, image tracking, radar, biomedical, and intelligent transportation. The book includes contributions by some of the leading researchers in the field to present an overview of advances in image recognition and classification over the past decade. It provides both theoretical and practical information on advances in the field."-L.F. Wang, Optik, 117M 2006