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Synopsis
This book discusses innovative methods for mining information from images of plants, especially leaves, and highlights the diagnostic features that can be implemented in fully automatic systems for identifying plant species. Adopting a multidisciplinary approach, it explores the problem of plant species identification, covering both the concepts of taxonomy and morphology. It then provides an overview of morphometrics, including the historical background and the main steps in the morphometric analysis of leaves together with a number of applications. The core of the book focuses on novel diagnostic methods for plant species identification developed from a computer scientist’s perspective. It then concludes with a chapter on the characterization of botanists' visions, which highlights important cognitive aspects that can be implemented in a computer system to more accurately replicate the human expert’s fixation process. The book not only represents an authoritative guide to advanced computational tools for plant identification, but provides experts in botany, computer science and pattern recognition with new ideas and challenges. As such it is expected to foster both closer collaborations and further technological developments in the emerging field of automatic plant identification.
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This book discusses innovative methods for mining information from images of plants, especially leaves, and highlights the diagnostic features that can be implemented in fully automatic systems for identifying plant species. Adopting a multidisciplinary approach, it explores the problem of plant species identification, covering both the concepts of taxonomy and morphology. It then provides an overview of morphometrics, including the historical background and the main steps in the morphometric analysis of leaves together with a number of applications. The core of the book focuses on novel diagnostic methods for plant species identification developed from a computer scientist’s perspective. It then concludes with a chapter on the characterization of botanists' visions, which highlights important cognitive aspects that can be implemented in a computer system to more accurately replicate the human expert’s fixation process. The book not only represents an authoritative guide to advanced computational tools for plant identification, but provides experts in botany, computer science and pattern recognition with new ideas and challenges. As such it is expected to foster both closer collaborations and further technological developments in the emerging field of automatic plant identification.
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- PublisherSpringer
- Publication date2016
- ISBN 10 3662537435
- ISBN 13 9783662537435
- BindingHardcover
- LanguageEnglish
- Edition number1
- Number of pages122
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Computational Botany : Methods for Automated Species Identification
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Computational Botany: Methods for Automated Species Identification
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Computational Botany
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Springer Berlin Heidelberg, 2016
ISBN 10: 3662537435
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Describes cutting-edge methods for feature extraction, analysis and classification of leavesDiscusses machine learning techniques for plant leaf analysisAnalyzes the performance of plant scientists carrying out simply leaf recognition tasks. Seller Inventory # 130359591
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Computational Botany
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Berlin Springer Berlin Heidelberg Springer Dez 2016, 2016
ISBN 10: 3662537435
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Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book discusses innovative methods for mining information from images of plants, especially leaves, and highlights the diagnostic features that can be implemented in fully automatic systems for identifying plant species. Adopting a multidisciplinary approach, it explores the problem of plant species identification, covering both the concepts of taxonomy and morphology. It then provides an overview of morphometrics, including the historical background and the main steps in the morphometric analysis of leaves together with a number of applications. The core of the book focuses on novel diagnostic methods for plant species identification developed from a computer scientist's perspective. It then concludes with a chapter on the characterization of botanists' visions, which highlights important cognitive aspects that can be implemented in a computer system to more accurately replicate the human expert's fixation process. The book not only represents an authoritative guide to advanced computational tools for plant identification, but provides experts in botany, computer science and pattern recognition with new ideas and challenges. As such it is expected to foster both closer collaborations and further technological developments in the emerging field of automatic plant identification. 114 pp. Englisch. Seller Inventory # 9783662537435
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Computational Botany : Methods for Automated Species Identification
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Springer, Berlin, Springer Berlin Heidelberg, Springer, 2016
ISBN 10: 3662537435
ISBN 13: 9783662537435
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Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book discusses innovative methods for mining information from images of plants, especially leaves, and highlights the diagnostic features that can be implemented in fully automatic systems for identifying plant species. Adopting a multidisciplinary approach, it explores the problem of plant species identification, covering both the concepts of taxonomy and morphology. It then provides an overview of morphometrics, including the historical background and the main steps in the morphometric analysis of leaves together with a number of applications. The core of the book focuses on novel diagnostic methods for plant species identification developed from a computer scientist's perspective. It then concludes with a chapter on the characterization of botanists' visions, which highlights important cognitive aspects that can be implemented in a computer system to more accurately replicate the human expert's fixation process. The book not only represents an authoritative guide to advanced computational tools for plant identification, but provides experts in botany, computer science and pattern recognition with new ideas and challenges. As such it is expected to foster both closer collaborations and further technological developments in the emerging field of automatic plant identification. Seller Inventory # 9783662537435
Quantity: 2 available
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Computational Botany: Methods for Automated Species Identification
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Springer-Verlag New York Inc, 2016
ISBN 10: 3662537435
ISBN 13: 9783662537435
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Hardcover. Condition: Brand New. 124 pages. 9.75x6.25x0.50 inches. In Stock. Seller Inventory # x-3662537435
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