Abstract
According to the characteristics of the particle swarm optimization, a method for the image segmentation to HSI model based on the improved particle swarm optimization was proposed in this paper. Firstly, the basic principle of the algorithm was introduced. Secondly, the characteristics on the image segmentation were analyzed. Finally, the image segmentation method based on the improved PSO was proposed, which can effectively overcome shortages which are the slow rate of the particle swarm optimization and the poor segmentation quality by using other algorithms. Experimental results proved that the improved algorithm was an effective method for the image segmentation in the practical application, which could segment the object accurately.
Project supported by The National High Technology Research and Development Program of China (863Program)(No. 2006AA10A305 and No. 2006AA10Z254), The National Natural Science Funds of China (No. 30771263) and The Key Technology R&D Program (No. 2007BAD89B04).
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Zhao, B., Chen, Y., Mao, W., Zhang, X. (2009). Image Segmentation to HSI Model Based on Improved Particle Swarm Optimization. In: Huang, DS., Jo, KH., Lee, HH., Kang, HJ., Bevilacqua, V. (eds) Emerging Intelligent Computing Technology and Applications. With Aspects of Artificial Intelligence. ICIC 2009. Lecture Notes in Computer Science(), vol 5755. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04020-7_81
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DOI: https://doi.org/10.1007/978-3-642-04020-7_81
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