Год выпуска: 2009 Автор: Igor Maslov and Izidor Gertner Издательство: LAP Lambert Academic Publishing Страниц: 288 ISBN: 9783838313269
Описание
Continually growing complexity of problems arising in digital imaging and necessity to deal with changing, dynamic, and uncertain information put higher demands on the existing systems of processing visual information. Their limitations and frequent inefficiency make researchers turn their attention to new methods capable of autonomous adjustment and self-adaptation to volatile inputs, tasks and conditions. This book investigates various aspects of using Evolutionary algorithms as a unified platform applied to a number of problems arising in image processing. In particular, the areas of image registration, and object or pattern recognition are addressed when the images of interest display significant distortion due to some physical or geometrical conditions. The book explores a broad range of models, algorithms, and techniques which implement advanced concepts of hybridization in Evolutionary algorithms and can improve their computational performance in solving...
