TY  - BOOK
AU  - Remagnino,Paolo
AU  - Mayo,Simon
AU  - Wilkin,Paul
AU  - Cope,James
AU  - Kirkup,Don
ED  - SpringerLink (Online service)
TI  - Computational Botany: Methods for Automated Species Identification 
SN  - 9783662537459
U1  - 006.3 23
PY  - 2017///
CY  - Berlin, Heidelberg
PB  - Springer Berlin Heidelberg, Imprint: Springer
KW  - Computer Engineering
KW  - Optical data processing
KW  - Computational Intelligence
KW  - Plant Sciences
KW  - Computer Imaging, Vision, Pattern Recognition and Graphics
N2  - 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
UR  - https://doi.org/10.1007/978-3-662-53745-9
ER  -