Title :
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
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;
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
DOI :
10.1109/ITME.2008.4744032
