Screen LibraryComputational Botany : Methods for Automated Species Identification /
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 spe...
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| Main Authors: | |
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| Group Author: | ; ; ; |
| Published: |
Springer Berlin Heidelberg : Imprint: Springer,
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| Publisher Address: | Berlin, Heidelberg : |
| Publication Dates: | 2017. |
| Literature type: | eBook |
| Language: | English |
| Subjects: | |
| Online Access: |
http://dx.doi.org/10.1007/978-3-662-53745-9 |
| Summary: |
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 dia |
| Carrier Form: | 1 online resource(VIII,114pages): illustrations |
| ISBN: | 9783662537459 |
| Index Number: | Q342 |
| CLC: | TP18 |