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

Azlin Ahmad, Rubiyah Yusof, Yasue Mitsukura

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationIECON 2015 - 41st Annual Conference of the IEEE Industrial Electronics Society
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages3075-3080
Number of pages6
ISBN (Electronic)9781479917624
DOIs
Publication statusPublished - 2016 Jan 25
Event41st Annual Conference of the IEEE Industrial Electronics Society, IECON 2015 - Yokohama, Japan
Duration: 2015 Nov 92015 Nov 12

Other

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

Fingerprint

Wood
Self organizing maps
Pore size
Experiments

Keywords

  • Clustering
  • pheromone
  • Pheromone-Based KSOM (PKSOM)
  • Tropical Wood Species

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Industrial and Manufacturing Engineering

Cite this

Ahmad, A., Yusof, R., & Mitsukura, Y. (2016). Identifying the dominant species of tropical wood species using histogram intersection method. In IECON 2015 - 41st Annual Conference of the IEEE Industrial Electronics Society (pp. 3075-3080). [7392572] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IECON.2015.7392572

Identifying the dominant species of tropical wood species using histogram intersection method. / Ahmad, Azlin; Yusof, Rubiyah; Mitsukura, Yasue.

IECON 2015 - 41st Annual Conference of the IEEE Industrial Electronics Society. Institute of Electrical and Electronics Engineers Inc., 2016. p. 3075-3080 7392572.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Ahmad, A, Yusof, R & Mitsukura, Y 2016, Identifying the dominant species of tropical wood species using histogram intersection method. in IECON 2015 - 41st Annual Conference of the IEEE Industrial Electronics Society., 7392572, Institute of Electrical and Electronics Engineers Inc., pp. 3075-3080, 41st Annual Conference of the IEEE Industrial Electronics Society, IECON 2015, Yokohama, Japan, 15/11/9. https://doi.org/10.1109/IECON.2015.7392572
Ahmad A, Yusof R, Mitsukura Y. Identifying the dominant species of tropical wood species using histogram intersection method. In IECON 2015 - 41st Annual Conference of the IEEE Industrial Electronics Society. Institute of Electrical and Electronics Engineers Inc. 2016. p. 3075-3080. 7392572 https://doi.org/10.1109/IECON.2015.7392572
Ahmad, Azlin ; Yusof, Rubiyah ; Mitsukura, Yasue. / Identifying the dominant species of tropical wood species using histogram intersection method. IECON 2015 - 41st Annual Conference of the IEEE Industrial Electronics Society. Institute of Electrical and Electronics Engineers Inc., 2016. pp. 3075-3080
@inproceedings{b41fed6405904f869d5526c12815c247,
title = "Identifying the dominant species of tropical wood species using histogram intersection method",
abstract = "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.",
keywords = "Clustering, pheromone, Pheromone-Based KSOM (PKSOM), Tropical Wood Species",
author = "Azlin Ahmad and Rubiyah Yusof and Yasue Mitsukura",
year = "2016",
month = "1",
day = "25",
doi = "10.1109/IECON.2015.7392572",
language = "English",
pages = "3075--3080",
booktitle = "IECON 2015 - 41st Annual Conference of the IEEE Industrial Electronics Society",
publisher = "Institute of Electrical and Electronics Engineers Inc.",

}

TY - GEN

T1 - Identifying the dominant species of tropical wood species using histogram intersection method

AU - Ahmad, Azlin

AU - Yusof, Rubiyah

AU - Mitsukura, Yasue

PY - 2016/1/25

Y1 - 2016/1/25

N2 - 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.

AB - 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.

KW - Clustering

KW - pheromone

KW - Pheromone-Based KSOM (PKSOM)

KW - Tropical Wood Species

UR - http://www.scopus.com/inward/record.url?scp=84973098140&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84973098140&partnerID=8YFLogxK

U2 - 10.1109/IECON.2015.7392572

DO - 10.1109/IECON.2015.7392572

M3 - Conference contribution

SP - 3075

EP - 3080

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

PB - Institute of Electrical and Electronics Engineers Inc.

ER -