Da: Chiron Media, Wallingford, Regno Unito
EUR 93,63
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Editore: Springer International Publishing, Springer International Publishing Aug 2020, 2020
ISBN 10: 3030129330 ISBN 13: 9783030129330
Lingua: Inglese
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
EUR 106,99
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Neuware -This book presents a study of the most important methods of image segmentation and how they are extended and improved using metaheuristic algorithms. The segmentation approaches selected have been extensively applied to the task of segmentation (especially in thresholding), and have also been implemented using various metaheuristics and hybridization techniques leading to a broader understanding of how image segmentation problems can be solved from an optimization perspective. The field of image processing is constantly changing due to the extensive integration of cameras in devices; for example, smart phones and cars now have embedded cameras. The images have to be accurately analyzed, and crucial pre-processing steps, like image segmentation, and artificial intelligence, including metaheuristics, are applied in the automatic analysis of digital images. Metaheuristic algorithms have also been used in various fields of science and technology as the demand for new methods designedto solve complex optimization problems increases.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 244 pp. Englisch.
Editore: Springer International Publishing, Springer International Publishing Mär 2019, 2019
ISBN 10: 3030129306 ISBN 13: 9783030129309
Lingua: Inglese
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
EUR 106,99
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Aggiungi al carrelloBuch. Condizione: Neu. Neuware -This book presents a study of the most important methods of image segmentation and how they are extended and improved using metaheuristic algorithms. The segmentation approaches selected have been extensively applied to the task of segmentation (especially in thresholding), and have also been implemented using various metaheuristics and hybridization techniques leading to a broader understanding of how image segmentation problems can be solved from an optimization perspective. The field of image processing is constantly changing due to the extensive integration of cameras in devices; for example, smart phones and cars now have embedded cameras. The images have to be accurately analyzed, and crucial pre-processing steps, like image segmentation, and artificial intelligence, including metaheuristics, are applied in the automatic analysis of digital images. Metaheuristic algorithms have also been used in various fields of science and technology as the demand for new methods designedto solve complex optimization problems increases.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 244 pp. Englisch.
Editore: Springer International Publishing, 2020
ISBN 10: 3030129330 ISBN 13: 9783030129330
Lingua: Inglese
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 106,99
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book presents a study of the most important methods of image segmentation and how they are extended and improved using metaheuristic algorithms. The segmentation approaches selected have been extensively applied to the task of segmentation (especially in thresholding), and have also been implemented using various metaheuristics and hybridization techniques leading to a broader understanding of how image segmentation problems can be solved from an optimization perspective. The field of image processing is constantly changing due to the extensive integration of cameras in devices; for example, smart phones and cars now have embedded cameras. The images have to be accurately analyzed, and crucial pre-processing steps, like image segmentation, and artificial intelligence, including metaheuristics, are applied in the automatic analysis of digital images. Metaheuristic algorithms have also been used in various fields of science and technology as the demand for new methods designedto solve complex optimization problems increases.This didactic book is primarily intended for undergraduate and postgraduate students of science, engineering, and computational mathematics. It is also suitable for courses such as artificial intelligence, advanced image processing, and computational intelligence. The material is also useful for researches in the fields of evolutionary computation, artificial intelligence, and image processing.
Editore: Springer International Publishing, 2019
ISBN 10: 3030129306 ISBN 13: 9783030129309
Lingua: Inglese
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 106,99
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Aggiungi al carrelloBuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book presents a study of the most important methods of image segmentation and how they are extended and improved using metaheuristic algorithms. The segmentation approaches selected have been extensively applied to the task of segmentation (especially in thresholding), and have also been implemented using various metaheuristics and hybridization techniques leading to a broader understanding of how image segmentation problems can be solved from an optimization perspective. The field of image processing is constantly changing due to the extensive integration of cameras in devices; for example, smart phones and cars now have embedded cameras. The images have to be accurately analyzed, and crucial pre-processing steps, like image segmentation, and artificial intelligence, including metaheuristics, are applied in the automatic analysis of digital images. Metaheuristic algorithms have also been used in various fields of science and technology as the demand for new methods designedto solve complex optimization problems increases.This didactic book is primarily intended for undergraduate and postgraduate students of science, engineering, and computational mathematics. It is also suitable for courses such as artificial intelligence, advanced image processing, and computational intelligence. The material is also useful for researches in the fields of evolutionary computation, artificial intelligence, and image processing.
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 119,28
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Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 119,28
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Da: Books Puddle, New York, NY, U.S.A.
EUR 152,55
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Aggiungi al carrelloCondizione: New. pp. 244.
Da: Books Puddle, New York, NY, U.S.A.
EUR 157,02
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Da: Revaluation Books, Exeter, Regno Unito
EUR 154,11
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Aggiungi al carrelloPaperback. Condizione: Brand New. 244 pages. 9.25x6.10x0.58 inches. In Stock.
Editore: Springer-Verlag New York Inc, 2019
ISBN 10: 3030129306 ISBN 13: 9783030129309
Lingua: Inglese
Da: Revaluation Books, Exeter, Regno Unito
EUR 156,13
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Aggiungi al carrelloHardcover. Condizione: Brand New. 244 pages. 9.25x6.10x0.71 inches. In Stock.
Da: Lucky's Textbooks, Dallas, TX, U.S.A.
EUR 104,61
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Da: Lucky's Textbooks, Dallas, TX, U.S.A.
EUR 104,96
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Da: dsmbooks, Liverpool, Regno Unito
EUR 163,38
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Aggiungi al carrelloHardcover. Condizione: New. New. book.
Da: Mispah books, Redhill, SURRE, Regno Unito
EUR 167,39
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Aggiungi al carrelloPaperback. Condizione: New. New. book.
Editore: Springer International Publishing, 2020
ISBN 10: 3030129330 ISBN 13: 9783030129330
Lingua: Inglese
Da: moluna, Greven, Germania
EUR 92,27
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Aggiungi al carrelloCondizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Provides the most representative tools used for image segmentationExamines the theory and application of metaheuristics algorithms for the segmentation of images from diverse sourcesPresents a compendium of methods useful for students, scie.
Editore: Springer International Publishing, 2019
ISBN 10: 3030129306 ISBN 13: 9783030129309
Lingua: Inglese
Da: moluna, Greven, Germania
EUR 92,27
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Aggiungi al carrelloGebunden. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Provides the most representative tools used for image segmentationExamines the theory and application of metaheuristics algorithms for the segmentation of images from diverse sourcesPresents a compendium of methods useful for students, scie.
Editore: Springer International Publishing Aug 2020, 2020
ISBN 10: 3030129330 ISBN 13: 9783030129330
Lingua: Inglese
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 106,99
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book presents a study of the most important methods of image segmentation and how they are extended and improved using metaheuristic algorithms. The segmentation approaches selected have been extensively applied to the task of segmentation (especially in thresholding), and have also been implemented using various metaheuristics and hybridization techniques leading to a broader understanding of how image segmentation problems can be solved from an optimization perspective. The field of image processing is constantly changing due to the extensive integration of cameras in devices; for example, smart phones and cars now have embedded cameras. The images have to be accurately analyzed, and crucial pre-processing steps, like image segmentation, and artificial intelligence, including metaheuristics, are applied in the automatic analysis of digital images. Metaheuristic algorithms have also been used in various fields of science and technology as the demand for new methods designed to solve complex optimization problems increases.This didactic book is primarily intended for undergraduate and postgraduate students of science, engineering, and computational mathematics. It is also suitable for courses such as artificial intelligence, advanced image processing, and computational intelligence. The material is also useful for researches in the fields of evolutionary computation, artificial intelligence, and image processing. 244 pp. Englisch.
Editore: Springer International Publishing Mrz 2019, 2019
ISBN 10: 3030129306 ISBN 13: 9783030129309
Lingua: Inglese
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 106,99
Convertire valutaQuantità: 2 disponibili
Aggiungi al carrelloBuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book presents a study of the most important methods of image segmentation and how they are extended and improved using metaheuristic algorithms. The segmentation approaches selected have been extensively applied to the task of segmentation (especially in thresholding), and have also been implemented using various metaheuristics and hybridization techniques leading to a broader understanding of how image segmentation problems can be solved from an optimization perspective. The field of image processing is constantly changing due to the extensive integration of cameras in devices; for example, smart phones and cars now have embedded cameras. The images have to be accurately analyzed, and crucial pre-processing steps, like image segmentation, and artificial intelligence, including metaheuristics, are applied in the automatic analysis of digital images. Metaheuristic algorithms have also been used in various fields of science and technology as the demand for new methods designed to solve complex optimization problems increases.This didactic book is primarily intended for undergraduate and postgraduate students of science, engineering, and computational mathematics. It is also suitable for courses such as artificial intelligence, advanced image processing, and computational intelligence. The material is also useful for researches in the fields of evolutionary computation, artificial intelligence, and image processing. 244 pp. Englisch.
Da: Majestic Books, Hounslow, Regno Unito
EUR 155,63
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Aggiungi al carrelloCondizione: New. Print on Demand pp. 244.
Da: Majestic Books, Hounslow, Regno Unito
EUR 160,52
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Aggiungi al carrelloCondizione: New. Print on Demand.
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 160,80
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Aggiungi al carrelloCondizione: New. PRINT ON DEMAND pp. 244.
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 164,79
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Aggiungi al carrelloCondizione: New. PRINT ON DEMAND.