Color Image Segmentation Based on Self-Organizing Maps

Rui Geng

doi:10.4028/www.scientific.net/AMR.214.693

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Heat Storage Experiment of the Microencapsulated Phase Change Material Slurry in a Horizontal Rectangular Tank
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Signed Graph Model of Equipment Supporting Supported by Space Information
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Research on Qualitative Simulation of Weapon Equipment Wasting in a War
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Study on the Bayesian Networks Decomposition by the Improved Multi-Linked Tree Algorithm
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The Analysis about Adult Sports Education Quality Certain Problem
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Research on Virtual Learning Community Based on Physical Knowledge
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Color Image Segmentation Based on Self-Organizing Maps
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Ethylene Polymerization by a New Zirconium Complex
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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 214Color Image Segmentation Based on Self-Organizing...

Color Image Segmentation Based on Self-Organizing Maps

Abstract:

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.

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Periodical:

Advanced Materials Research (Volume 214)

Pages:

693-698

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.214.693

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Online since:

February 2011

Authors:

Rui Geng

Keywords:

Chemotaxis, Image, Segmentation

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