A new image segmentation method based on HSI color space for biped soccer robot

Author

Honge Ren ; Qiubo Zhong

Author_Institution

Inf. & Comput. Eng. Coll., Northeast Forestry Univ., Harbin

fYear

2008

fDate

12-14 Dec. 2008

Firstpage

1058

Lastpage

1061

Abstract

Many researchers now are engaging themselves in the research on vision system for humanoid soccer robot. By making a deep analysis on the HSI color space, a better algorithm is presented which is judging the main feature of current pixel dynamically according to an intensity (I value) related formula in this paper. Fuzzy K-means clustering method is adopted in the image segmentation after all the similar pixels are found. This research is a good foundation for the future work of more complex vision based motion planning of humanoid soccer robot.

Keywords

fuzzy set theory; humanoid robots; image colour analysis; image segmentation; legged locomotion; pattern clustering; robot vision; HSI color space; biped soccer robot; fuzzy K-means clustering; humanoid soccer robot; image segmentation; robot vision system; Algorithm design and analysis; Clustering algorithms; Clustering methods; Humanoid robots; Image color analysis; Image segmentation; Machine vision; Orbital robotics; Pixel; Robot vision systems;

fLanguage

English

Publisher

ieee

Conference_Titel

IT in Medicine and Education, 2008. ITME 2008. IEEE International Symposium on

Conference_Location

Xiamen

Print_ISBN

978-1-4244-3616-3

Electronic_ISBN

978-1-4244-2511-2

Type

conf

DOI

10.1109/ITME.2008.4744032

Filename

4744032