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書名 Computational botany [electronic resource] : methods for automated species identification / by Paolo Remagnino ... [et al.]
出版項 Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2017
國際標準書號 9783662537459 (electronic bk.)
9783662537435 (paper)
國際標準號碼 10.1007/978-3-662-53745-9 doi
book jacket
說明 viii, 114 p. : ill., digital ; 24 cm
附註 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
Host Item Springer eBooks
主題 Engineering
Computer graphics
Plant science
Botany
Computational intelligence
Engineering
Computational Intelligence
Plant Sciences
Computer Imaging, Vision, Pattern Recognition and Graphics
Alt Author Remagnino, Paolo
SpringerLink (Online service)
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