| 書目名稱 | Computational Botany | | 副標題 | Methods for Automate | | 編輯 | Paolo Remagnino,Simon Mayo,Don Kirkup | | 視頻video | http://file.papertrans.cn/233/232155/232155.mp4 | | 概述 | Describes cutting-edge methods for feature extraction, analysis and classification of leaves.Discusses machine learning techniques for plant leaf analysis.Analyzes the performance of plant scientists | | 圖書封面 |  | | 描述 | 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 collabo | | 出版日期 | Book 2017 | | 關鍵詞 | Computational plant taxonomy; Quantitative Classification Of Plants; Leaf Morphology; Leaf Texture; Vein | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-662-53745-9 | | isbn_softcover | 978-3-662-57156-9 | | isbn_ebook | 978-3-662-53745-9 | | copyright | Springer-Verlag GmbH Germany 2017 |
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