Fast recognition based on color image segmentation in mobile robot

被引：0

作者：

Liu Hai-bo ^{[1
]}

Wang Yu-mei ^{[1
]}

Dong Yu-jie ^{[2
]}

机构：

[1] Henan Polytech Univ, Sch Elect Engn & Automat, Jiaozuo 454000, Peoples R China

[2] Henan Polytech Univ, WanFang Coll Sci & Technol, Jiaozuo 454000, Peoples R China

来源：

THIRD INTERNATIONAL SYMPOSIUM ON COMPUTER SCIENCE AND COMPUTATIONAL TECHNOLOGY (ISCSCT 2010) | 2010年

关键词：

autonomous mobile robot; image segmentation; target recognition; threshold;

D O I：

暂无

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

Real time segmentation is the first step in the color vision system on the robot system. A color image segmentation method using improved seed-fill algorithm in YUV color space is introduced in this paper. The new method dramatically reduces the work of calculation, and speeds up the image processing. The result of comparing it with the old method based on RGB color space was showed in the paper. The second step of the vision sub system is identification the color block that separated by the first step. A improved seed fill algorithm is used in the paper. The implementation on MiroSot Soccer Robot System shows that the new method is fast and accurate.

引用

页码：1 / 4

页数：4

共 6 条

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