Computational Botany

Methods for Automated Species Identification

  • Paolo Remagnino
  • Simon Mayo
  • Paul Wilkin
  • James Cope
  • Don Kirkup

Table of contents

  1. Front Matter
    Pages i-viii
  2. Paolo Remagnino, Simon Mayo, Paul Wilkin, James Cope, Don Kirkup
    Pages 1-9
  3. Paolo Remagnino, Simon Mayo, Paul Wilkin, James Cope, Don Kirkup
    Pages 11-32
  4. Paolo Remagnino, Simon Mayo, Paul Wilkin, James Cope, Don Kirkup
    Pages 33-56
  5. Paolo Remagnino, Simon Mayo, Paul Wilkin, James Cope, Don Kirkup
    Pages 57-79
  6. Paolo Remagnino, Simon Mayo, Paul Wilkin, James Cope, Don Kirkup
    Pages 81-95
  7. Back Matter
    Pages 97-114

About this book

Introduction

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.

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

Authors and affiliations

  • Paolo Remagnino
    • 1
  • Simon Mayo
    • 2
  • Paul Wilkin
    • 3
  • James Cope
    • 4
  • Don Kirkup
    • 5
  1. 1.Faculty of Computing, Information Systems and MathematicsKingston UniversitySurreyUnited Kingdom
  2. 2.Department of Identification and NamingRoyal Botanic Gardens, KewRichmond, SurreyUnited Kingdom
  3. 3.Department of Natural Capital and Plant HealthRoyal Botanic Gardens, KewRichmond, SurreyUnited Kingdom
  4. 4.Digital Imaging Research CentreKingston UniversitySurreyUnited Kingdom
  5. 5.Department of Biodiversity Informatics and Spatial AnalysisRoyal Botanic Gardens, KewRichmond, SurreyUnited Kingdom

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-662-53745-9
  • Copyright Information Springer-Verlag GmbH Germany 2017
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering
  • Print ISBN 978-3-662-53743-5
  • Online ISBN 978-3-662-53745-9
  • About this book
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