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

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.

[1]  Andreas Koschan,et al.  Colour Image Segmentation: A Survey , 1994 .

[2]  Wang Wei,et al.  Vision-based localization for autonomous mobile robot in RoboCup: a survey , 2005 .

[3]  W. Skarbek,et al.  Image segmentation by Dirac needles , 2008, 2008 50th International Symposium ELMAR.

[4]  Miao Rong-xia.  Research of Image Segmentation of Vision System of Autonomous Mobile Robot , 2007 .

[5]  Linda G. Shapiro,et al.  Computer Vision , 2001 .

[6]  Manuela M. Veloso,et al.  Fast and inexpensive color image segmentation for interactive robots , 2000, Proceedings. 2000 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2000) (Cat. No.00CH37113).

[7]  Zhang Yujin,et al.  Color image segmentation based on HSI model , 1998 .

[8]  B. S. Manjunath,et al.  Color and texture descriptors , 2001, IEEE Trans. Circuits Syst. Video Technol..

[9]  Shamik Sural,et al.  Segmentation and histogram generation using the HSV color space for image retrieval , 2002, Proceedings. International Conference on Image Processing.

[10]  David G. Stork,et al.  Pattern Classification , 1973 .