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.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
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.
Dr. Igor V. Maslov, Ph.D.: Earned Ph.D. degree in Mechanical Engineering from Leningrad Shipbuilding Institute, and Ph.D. degree in Computer Science from City University of New York. Associate Professor at the Department of Intelligent Computing Technologies, St.-Petersburg State Polytechnical University. Professional Member of the ACM.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Taschenbuch. Etat : 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. N° de réf. du vendeur 9783838313269
Quantité disponible : 2 disponible(s)
Vendeur : moluna, Greven, Allemagne
Etat : 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. N° de réf. du vendeur 5412021
Quantité disponible : Plus de 20 disponibles
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
Taschenbuch. Etat : 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. N° de réf. du vendeur 9783838313269
Quantité disponible : 1 disponible(s)
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Taschenbuch. Etat : 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. N° de réf. du vendeur 9783838313269
Quantité disponible : 1 disponible(s)
Vendeur : Mispah books, Redhill, SURRE, Royaume-Uni
Paperback. Etat : Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book. N° de réf. du vendeur ERICA77338383132676
Quantité disponible : 1 disponible(s)