Thresholds decision method for fast object detection systems

Hideaki Sato, Yasue Mitsukura, Minoru Fukumi, Norio Akamatsu

研究成果: Conference contribution

2 被引用数 (Scopus)

抄録

In this paper, we propose a new determination method of color thresholds for extracting objects. In order to obtain the optimal color threshold, it is necessary to determine RGB values all together because one color consists of a combination of RGB values. The two optimal thresholds, an upper and a lower, are determined for object extraction by applying genetic algorithm. Moreover, in the proposed method, individuals are evaluated using two fitness functions for obtaining the optimal color thresholds, and initial population is generated with color histograms for fast convergence. Finally, computer simulations are performed, and the result images are shown.

本文言語English
ホスト出版物のタイトルProceedings - 2003 IEEE International Symposium on Computational Intelligence in Robotics and Automation
ホスト出版物のサブタイトルComputational Intelligence in Robotics and Automation for the New Millennium
出版社Institute of Electrical and Electronics Engineers Inc.
ページ1075-1080
ページ数6
ISBN(電子版)0780378660
DOI
出版ステータスPublished - 2003 1 1
外部発表はい
イベント2003 IEEE International Symposium on Computational Intelligence in Robotics and Automation, CIRA 2003 - Kobe, Japan
継続期間: 2003 7 162003 7 20

出版物シリーズ

名前Proceedings of IEEE International Symposium on Computational Intelligence in Robotics and Automation, CIRA
3

Other

Other2003 IEEE International Symposium on Computational Intelligence in Robotics and Automation, CIRA 2003
CountryJapan
CityKobe
Period03/7/1603/7/20

ASJC Scopus subject areas

  • Computational Mathematics

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