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Classifying Insects from SEM Images Based on Optimal Classifier Selection and D-S Evidence Theory

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Please use this identifier to cite or link to this item:http://hdl.handle.net/2115/65183

Title: Classifying Insects from SEM Images Based on Optimal Classifier Selection and D-S Evidence Theory
Authors: OGAWA, Takahiro Browse this author →KAKEN DB
TAKAHASHI, Akihiro Browse this author
HASEYAMA, Miki Browse this author →KAKEN DB
Keywords: scanning electron microphotograph
insect classification
grouping scheme
result integration
Issue Date: 1-Nov-2016
Publisher: IEICE - The Institute of Electronics, Information and Communication Engineers
Journal Title: IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
Volume: E99.A
Issue: 11
Start Page: 1971
End Page: 1980
Publisher DOI: 10.1587/transfun.E99.A.1971
Abstract: In this paper, an insect classification method using scanning electron microphotographs is presented. Images taken by a scanning electron microscope (SEM) have a unique problem for classification in that visual features differ from each other by magnifications. Therefore, direct use of conventional methods results in inaccurate classification results. In order to successfully classify these images, the proposed method generates an optimal training dataset for constructing a classifier for each magnification. Then our method classifies images using the classifiers constructed by the optimal training dataset. In addition, several images are generally taken by an SEM with different magnifications from the same insect. Therefore, more accurate classification can be expected by integrating the results from the same insect based on Dempster-Shafer evidence theory. In this way, accurate insect classification can be realized by our method. At the end of this paper, we show experimental results to confirm the effectiveness of the proposed method.
Rights: copyright©2016 IEICE
Relation: http://search.ieice.org/
Type: article
URI: http://hdl.handle.net/2115/65183
Appears in Collections:情報科学院・情報科学研究院 (Graduate School of Information Science and Technology / Faculty of Information Science and Technology) > 雑誌発表論文等 (Peer-reviewed Journal Articles, etc)

Submitter: 小川 貴弘

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