Identifying the dominant species of tropical wood species using histogram intersection method

Azlin Ahmad, Rubiyah Yusof, Yasue Mitsukura

研究成果: Conference contribution

2 被引用数 (Scopus)

抄録

This research is addresses to determine the dominant species that located in the overlapped clusters produced by the Kohonen Self-organizing Map (KSOM). Before, KSOM algorithm able to cluster the tropical wood species data set effectively and accurately according to the wood features, which is wood pores sizes. Unfortunately, there are seven overlapped clusters in the clustering result and this is due to similarity features among the wood species. This problem has caused difficulty in determining the separation boundary amongst clusters, where the most dominant species for every overlapped cluster is difficult to identify. As for a solution, the Histogram Intersection (HI) method is proposed in this research to solve this problem. From the experiments, the HI has proved that it can determine the dominant species of the overlapped clusters effectively resulting in an improvement of 1.12% of the classification accuracy, compared with the clustering result without HI technique. It has shown the implementation of this method has successfully solved the problem occurred.

本文言語English
ホスト出版物のタイトルIECON 2015 - 41st Annual Conference of the IEEE Industrial Electronics Society
出版社Institute of Electrical and Electronics Engineers Inc.
ページ3075-3080
ページ数6
ISBN(電子版)9781479917624
DOI
出版ステータスPublished - 2015
イベント41st Annual Conference of the IEEE Industrial Electronics Society, IECON 2015 - Yokohama, Japan
継続期間: 2015 11 92015 11 12

出版物シリーズ

名前IECON 2015 - 41st Annual Conference of the IEEE Industrial Electronics Society

Other

Other41st Annual Conference of the IEEE Industrial Electronics Society, IECON 2015
国/地域Japan
CityYokohama
Period15/11/915/11/12

ASJC Scopus subject areas

  • 電子工学および電気工学
  • 産業および生産工学

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