The Application of Improved PSO Algorithm in PMMW Image OSTU Threshold Segmentation

Peng Chen; Tao Zou; Jia Yong Chen; Zhi Gao; Jing Xiong

doi:10.4028/www.scientific.net/AMM.721.779

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 721The Application of Improved PSO Algorithm in PMMW...

The Application of Improved PSO Algorithm in PMMW Image OSTU Threshold Segmentation

Abstract:

The study of passive millimeter-wave (PMMW) image with low resolution and high noise is a research hotspot recently. Therefore, 2D OSTU threshold segmentation method is introduced into PMMW image processing. However, traditional 2D OSTU method has gorgeous calculation and low operation efficiency. As a result, Multi-Period Particle Swarm Optimization (MP-PSO) algorithm is proposed to achieve the goal of fast segmentation. Experiments show that MP-PSO can not only avoid premature convergence of PSO and improve the accuracy of the search, but also be more accurate and efficient. It is convenient for PMMW image real-time processing.

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Periodical:

Applied Mechanics and Materials (Volume 721)

Pages:

779-782

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.721.779

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Online since:

December 2014

Authors:

Peng Chen*, Tao Zou, Jia Yong Chen, Zhi Gao, Jing Xiong

Keywords:

2D OSTU, Multi-Period PSO, PMMW Image, Threshold Segmentation

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* - Corresponding Author

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