Title :
Color Image Segmentation Based on Multi-Valued Eigenfunction
Author :
Zhang Jian li ; Li, Shu Qin
Author_Institution :
Dept. of Comput. Sci., Beijing Inf. & Sci. Technol. Univ., Beijing, China
Abstract :
Image segmentation is a key step in image process, and also is a core technology of a vision system in soccer robot. In this paper, a method of color image segmentation based on multi-valued characteristic is presented. A superset of the objective sample is constructed in color space, multi-valued characteristic function is employed to describe objective clustering, ultimately implement the division of color image. Experiments show this algorithm is preferable in both functionality and speed of image processing.
Keywords :
eigenvalues and eigenfunctions; image colour analysis; image segmentation; robot vision; color image segmentation; multivalued characteristic function; multivalued eigenfunction; objective clustering; soccer robot; vision system; Clustering algorithms; Computer science; Eigenvalues and eigenfunctions; Hardware; Image color analysis; Image processing; Image segmentation; Pixel; Robots; Space technology;
Conference_Titel :
Intelligent Systems and Applications (ISA), 2010 2nd International Workshop on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-5872-1
Electronic_ISBN :
978-1-4244-5874-5
DOI :
10.1109/IWISA.2010.5473666
