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Metaheuristic Algorithms for Image Segmentation: Theory and Applications: 825 (Studies in Computational Intelligence) - Tapa dura
Sinopsis
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.
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De la contraportada
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.
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- EditorialSpringer
- Año de publicación2019
- ISBN 10 3030129306
- ISBN 13 9783030129309
- EncuadernaciónTapa dura
- IdiomaInglés
- Número de edición1
- Número de páginas244
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Metaheuristic Algorithms for Image Segmentation: Theory and Applications
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Springer International Publishing, 2019
ISBN 10: 3030129306
ISBN 13: 9783030129309
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Gebunden. Condición: 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. Nº de ref. del artículo: 267123468
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Metaheuristic Algorithms for Image Segmentation: Theory and Applications
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Springer International Publishing Mrz 2019, 2019
ISBN 10: 3030129306
ISBN 13: 9783030129309
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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
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Buch. Condición: 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. Nº de ref. del artículo: 9783030129309
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Metaheuristic Algorithms for Image Segmentation: Theory and Applications
Publicado por
Springer International Publishing, 2019
ISBN 10: 3030129306
ISBN 13: 9783030129309
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Librería: AHA-BUCH GmbH, Einbeck, Alemania
Calificación del vendedor: 5 de 5 estrellas
Buch. Condición: 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. Nº de ref. del artículo: 9783030129309
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Metaheuristic Algorithms for Image Segmentation: Theory and Applications (Studies in Computational Intelligence, 825)
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Metaheuristic Algorithms for Image Segmentation: Theory and Applications
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Springer International Publishing, Springer International Publishing Mär 2019, 2019
ISBN 10: 3030129306
ISBN 13: 9783030129309
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Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
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Buch. Condición: 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. Nº de ref. del artículo: 9783030129309
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Metaheuristic Algorithms for Image Segmentation: Theory and Applications
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Metaheuristic Algorithms for Image Segmentation: Theory and Applications
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Springer-Verlag New York Inc, 2019
ISBN 10: 3030129306
ISBN 13: 9783030129309
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Librería: Revaluation Books, Exeter, Reino Unido
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Hardcover. Condición: Brand New. 244 pages. 9.25x6.10x0.71 inches. In Stock. Nº de ref. del artículo: x-3030129306
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Metaheuristic Algorithms for Image Segmentation: Theory and Applications (Studies in Computational Intelligence, 825)
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Metaheuristic Algorithms for Image Segmentation: Theory and Applications
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Metaheuristic Algorithms for Image Segmentation: Theory and Applications
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