Thresholds decision method for fast object detection systems

被引：0

作者：

Sato, H ^{[1
]}

Mitsukura, Y ^{[1
]}

Fukumi, M ^{[1
]}

Akamatsu, N ^{[1
]}

机构：

[1] Aoyama Gakuin Univ, Sagamihara, Kanagawa 2298558, Japan

来源：

2003 IEEE INTERNATIONAL SYMPOSIUM ON COMPUTATIONAL INTELLIGENCE IN ROBOTICS AND AUTOMATION, VOLS I-III, PROCEEDINGS | 2003年

关键词：

image processing; object extraction; threshold; genetic algorithm; fitness function;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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, a upper and a lower, axe determined for object extraction by applying genetic algorithm. Moreover, in the proposed method, individuals axe 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 axe performed, and the result images are shown.

引用

页码：1075 / 1080

页数：6

共 9 条

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[6] Mitsukura Y., 2001, Transactions of the Institute of Electrical Engineers of Japan, Part C, V121-C, P112
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[8] YANAI K, 2001, IEICE, V84, P1741
[9] Yang H., 2002, Transactions of the Institute of Electrical Engineers of Japan, Part C, V122-C, P630

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