Automatic Diatom Identification

丛 书 名：Series in Machine Perception and Artificial Intelligence, v. 51

版本说明：1st

作     者：Hans Du Buf, Micha M. Bayer 

I S B N：(纸本) 9810248865 

出 版 社：World Scientific Publishing Company 

出 版 年：2002年

页      数：329页

主 题 词：Diatoms--Identification--Data processing Pattern recognition systems 

学科分类：12[管理学] 071001[理学-植物学] 04[教育学] 07[理学] 08[工学] 0710[理学-生物学] 0402[教育学-心理学(可授教育学、理学学位）] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 081104[工学-模式识别与智能系统] 080203[工学-机械设计及理论] 0835[工学-软件工程] 0802[工学-机械工程] 0811[工学-控制科学与工程] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

摘      要：This is the first book to deal with automatic diatom identification. It provides the necessary background information concerning diatom research, useful for both diatomists and non-diatomists. It deals with the development of electronic databases, image preprocessing, automatic contour extraction, the application of existing contour and ornamentation features and the development of new ones, as well as the application of different classifiers (neural networks, decision trees, etc.). These are tested using two image sets: (i) a very difficult set of Sellaphora pupula with 6 demes and 120 images; (ii) a mixed genera set with 37 taxa and approximately 800 images. The results are excellent, and recognition rates well above 90% have been achieved on both sets. The results are compared with identification rates obtained by human experts. One chapter of the book deals with automatic image capture, i.e. microscope slide scanning at different resolutions using a motorized microscope stage, autofocusing, multifocus fusion, and particle screening to select only diatoms and to reject debris. This book is the final scientific report of the European ADIAC project (Automatic Diatom Identification and Classification), and it lists the web-sites with the created public databases and an identification demo.