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Computational botanymethods for auto...

Remagnino, Paolo.

Computational botanymethods for automated species identification /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Computational botanyby Paolo Remagnino ... [et al.].
其他題名:	methods for automated species identification /
其他作者:	Remagnino, Paolo.
出版者:	Berlin, Heidelberg :Springer Berlin Heidelberg :2017.
面頁冊數:	viii, 114 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
標題:	Engineering.
電子資源:	http://dx.doi.org/10.1007/978-3-662-53745-9
ISBN:	9783662537459$q(electronic bk.)

Computational botanymethods for automated species identification /
Computational botanymethods for automated species identification /[electronic resource] :by Paolo Remagnino ... [et al.]. - Berlin, Heidelberg :Springer Berlin Heidelberg :2017. - viii, 114 p. :ill., digital ;24 cm.

From the Content -- Introduction -- Morphometrics: a Brief Review -- Feature Extraction -- Machine Learning for Plant Leaf Analysis.

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.

ISBN: 9783662537459$q(electronic bk.)

Standard No.: 10.1007/978-3-662-53745-9doiSubjects--Topical Terms:

210888
Engineering.

LC Class. No.: Q342

Dewey Class. No.: 570.72

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505 0 $a From the Content -- Introduction -- Morphometrics: a Brief Review -- Feature Extraction -- Machine Learning for Plant Leaf Analysis.
520 $a 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.
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