Image Segmentation Research Based on Particle Swarm Optimization

Abstract:

As one of the difficulties and hot of computer vision and image processing, Image segmentation is highly valued by the research workers. Yet there is no image segmentation algorithm which is generic, and it is difficult to obtain an optimal feature representation method. In this paper, particle swarm optimization has proposed to segment the image. PSO algorithm can improve the efficiency and quality of the picture some extent through the experimental results. The algorithm has some versatility, as long as the corresponding parameters are adjusted, it can also handle the other images. The results show that PSO algorithm is very stable, and the fusion result is more satisfactory.

• Periodical: Advanced Materials Research (Volumes 403-408)
• Pages: 1644-1647
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.403-408.1644
• Online since: November 2011
• Authors: Xia Zhu
• Keywords: Image Segmentation, Particle Swarm Algorithm

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