Overview
- Describes cutting-edge methods for feature extraction, analysis and classification of leaves
- Discusses machine learning techniques for plant leaf analysis
- Analyzes the performance of plant scientists carrying out simply leaf recognition tasks
- Gives new insights into the development of automatic plant identification systems
- Includes supplementary material: sn.pub/extras
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Table of contents (5 chapters)
Keywords
- Computational plant taxonomy
- Quantitative Classification Of Plants
- Leaf Morphology
- Leaf Texture
- Vein Classifiers
- Intra-Species Variation
- Leaf Feature Selection
- Automatic Plant Identification
- Leaf-Shape Analysis Techniques
- Leaf Macro- And Micro-Texture
- Plant Species Recognition
- Leaf Image Recognition
- Machine Learning In Botany
- Automatic Plant Leaf Classification
- Neural Gas Algorithm
About this book
Reviews
“A multidisciplinary domain that indirectly supports information technology (IT) and botanic areas--image analysis modeling and the associated algorithms for implementing automatic systems for plant species identification--is addressed in this book. … The book is very well written, in a clear and well-structured style, and is an excellent recommendation for specialists, experts and students in the field of computational botany.” (Computing Reviews, September, 2017)
Authors and Affiliations
Bibliographic Information
Book Title: Computational Botany
Book Subtitle: Methods for Automated Species Identification
Authors: Paolo Remagnino, Simon Mayo, Paul Wilkin, James Cope, Don Kirkup
DOI: https://doi.org/10.1007/978-3-662-53745-9
Publisher: Springer Berlin, Heidelberg
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer-Verlag GmbH Germany 2017
Hardcover ISBN: 978-3-662-53743-5Published: 16 December 2016
Softcover ISBN: 978-3-662-57156-9Published: 05 July 2018
eBook ISBN: 978-3-662-53745-9Published: 09 December 2016
Edition Number: 1
Number of Pages: VIII, 114
Number of Illustrations: 18 b/w illustrations, 20 illustrations in colour
Topics: Computational Intelligence, Plant Sciences, Computer Imaging, Vision, Pattern Recognition and Graphics