evolutionary algorithms digital image von maslov igor (6 Ergebnisse)

Taschenbuch. Zustand: Neu. Evolutionary Algorithms in Digital Image Processing | A Hybrid Approach | Igor Maslov (u. a.) | Taschenbuch | 288 S. | Englisch | 2009 | LAP LAMBERT Academic Publishing | EAN 9783838313269 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.

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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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 imaging problems. The book will be useful for professionals working in the areas of digital image processing and Evolutionary computations. 288 pp. Englisch.

Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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 ineffic.

Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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 imaging problems. The book will be useful for professionals working in the areas of digital image processing and Evolutionary computations.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 288 pp. Englisch.

Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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 imaging problems. The book will be useful for professionals working in the areas of digital image processing and Evolutionary computations.