Color Image Segmentation Based on Self-Organizing Maps

Abstract:

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The colony intellectual behavior performed by many organisms in nature can solve various kinds of problems on scientific and technological research. Bees are a socialized insect colony, which perform different types of activities according to their different divisions of labor, and achieve information sharing and exchanges among the bee colony to find the optimal solution for problems. According to this characteristic, researchers have proposed the algorithm of bee colony for solving combinatorial optimization problems. In this paper, it will describe the implementation process of such an image segmentation algorithm, and the result shows that this method is a potential image segmentation algorithm.

Info:

Periodical:

Edited by:

Zeng Zhu

Pages:

693-698

DOI:

10.4028/www.scientific.net/AMR.214.693

Citation:

R. Geng "Color Image Segmentation Based on Self-Organizing Maps", Advanced Materials Research, Vol. 214, pp. 693-698, 2011

Online since:

February 2011

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Price:

$35.00

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