Übersicht			Auf mobile öffnen

Lieferstatus:	Auf Bestellung (Lieferzeit unbekannt)
Veröffentlichung:	Juli 2018
Genre:	Naturwissensch., Medizin, Technik
	Automatic Plant Leaf Classification / B / Bildverarbeitung / Botanik und Pflanzenwissenschaften / Botany / Botany & plant sciences / Computational Intelligence / Computer Imaging, Vision, Pattern Recognition and Graphics / Computer Vision / engineering / Image processing / Leaf Image Recognition / Machine Learning In Botany / Neural Gas Algorithm / Optical data processing / Plant Science / Plant Sciences / Plant Species Recognition mehr...
ISBN:	9783662571569
EAN-Code:	9783662571569
Verlag:	Springer EN
Einband:	Kartoniert
Sprache:	English
Dimensionen:	H 235 mm / B 155 mm / D
Gewicht:	203 gr
Seiten:	114
Illustration:	VIII, 114 p. 38 illus., 20 illus. in color., farbige Illustrationen, schwarz-weiss Illustrationen
Zus. Info:	EUDR exemption - product or manufacturing materials placed on the market prior to 31.12.2025.
Bewertung:	Titel bewerten / Meinung schreiben

Inhalt:

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.