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Edité par Taylor & Francis Ltd (Sales) Okt 2024, 2024
ISBN 10 : 1032024739 ISBN 13 : 9781032024738
Langue: anglais
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Ajouter au panierTaschenbuch. Etat : Neu. Neuware - Presents a study of methods of image processing and how they are extended and improved using modern metaheuristic algorithms. The field of image processing is constantly changing due to the extensive integration of cameras in devices.
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Edité par Taylor & Francis Ltd, London, 2024
ISBN 10 : 1032024739 ISBN 13 : 9781032024738
Langue: anglais
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Ajouter au panierPaperback. Etat : new. Paperback. The use of metaheuristic algorithms (MA) has been increasing in recent years, and the image processing field is not the exempted of their application. In the last two years a big amount of MA has been introduced as alternatives for solving complex optimization problems. This book collects the most prominent MA of the 2019 and 2020 and verifies its use in image processing tasks. In addition, literature review of both MA and digital image processing is presented as part of the introductory information. Each algorithm is detailed explained with special focus in the tuning parameters and the proper implementation for the image processing tasks. Besides several examples permits to the reader explore and confirm the use of this kind of intelligent methods. Since image processing is widely used in different domains, this book considers different kinds of datasets that includes, magnetic resonance images, thermal images, agriculture images, among others. The reader then can have some ideas of implementation that complement the theory exposed of each optimization mechanism. Regarding the image processing problems this book consider the segmentation by using different metrics based on entropies or variances. In the same way, the identification of different shapes and the detection of objects are also covered in the corresponding chapters. Each chapter is complemented with a wide range of experiments and statistical analysis that permits the reader to judge about the performance of the MA. Finally, there is included a section that includes some discussion and conclusions. This section also provides some open questions and research opportunities for the audience. Presents a study of methods of image processing and how they are extended and improved using modern metaheuristic algorithms. The field of image processing is constantly changing due to the extensive integration of cameras in devices. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Edité par Taylor & Francis Ltd, London, 2024
ISBN 10 : 1032024739 ISBN 13 : 9781032024738
Langue: anglais
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Ajouter au panierPaperback. Etat : new. Paperback. The use of metaheuristic algorithms (MA) has been increasing in recent years, and the image processing field is not the exempted of their application. In the last two years a big amount of MA has been introduced as alternatives for solving complex optimization problems. This book collects the most prominent MA of the 2019 and 2020 and verifies its use in image processing tasks. In addition, literature review of both MA and digital image processing is presented as part of the introductory information. Each algorithm is detailed explained with special focus in the tuning parameters and the proper implementation for the image processing tasks. Besides several examples permits to the reader explore and confirm the use of this kind of intelligent methods. Since image processing is widely used in different domains, this book considers different kinds of datasets that includes, magnetic resonance images, thermal images, agriculture images, among others. The reader then can have some ideas of implementation that complement the theory exposed of each optimization mechanism. Regarding the image processing problems this book consider the segmentation by using different metrics based on entropies or variances. In the same way, the identification of different shapes and the detection of objects are also covered in the corresponding chapters. Each chapter is complemented with a wide range of experiments and statistical analysis that permits the reader to judge about the performance of the MA. Finally, there is included a section that includes some discussion and conclusions. This section also provides some open questions and research opportunities for the audience. Presents a study of methods of image processing and how they are extended and improved using modern metaheuristic algorithms. The field of image processing is constantly changing due to the extensive integration of cameras in devices. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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Edité par Taylor & Francis Ltd, London, 2024
ISBN 10 : 1032024739 ISBN 13 : 9781032024738
Langue: anglais
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Ajouter au panierPaperback. Etat : new. Paperback. The use of metaheuristic algorithms (MA) has been increasing in recent years, and the image processing field is not the exempted of their application. In the last two years a big amount of MA has been introduced as alternatives for solving complex optimization problems. This book collects the most prominent MA of the 2019 and 2020 and verifies its use in image processing tasks. In addition, literature review of both MA and digital image processing is presented as part of the introductory information. Each algorithm is detailed explained with special focus in the tuning parameters and the proper implementation for the image processing tasks. Besides several examples permits to the reader explore and confirm the use of this kind of intelligent methods. Since image processing is widely used in different domains, this book considers different kinds of datasets that includes, magnetic resonance images, thermal images, agriculture images, among others. The reader then can have some ideas of implementation that complement the theory exposed of each optimization mechanism. Regarding the image processing problems this book consider the segmentation by using different metrics based on entropies or variances. In the same way, the identification of different shapes and the detection of objects are also covered in the corresponding chapters. Each chapter is complemented with a wide range of experiments and statistical analysis that permits the reader to judge about the performance of the MA. Finally, there is included a section that includes some discussion and conclusions. This section also provides some open questions and research opportunities for the audience. Presents a study of methods of image processing and how they are extended and improved using modern metaheuristic algorithms. The field of image processing is constantly changing due to the extensive integration of cameras in devices. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Ajouter au panierPaperback. Etat : Brand New. 140 pages. 8.50x5.43x8.50 inches. In Stock. This item is printed on demand.
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Ajouter au panierGebunden. Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Prof. Diego Oliva received the B.S. degree in Electronics and Computer Engineering from the Industrial Technical Education Center (CETI) of Guadalajara, Mexico, in 2007, the M.Sc. degree in Electronic Engineering and Computer Sciences fr.
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Ajouter au panierHRD. Etat : New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.