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Image Segmentation to HSI Model Based on Improved Particle Swarm Optimization

机译:基于改进粒子群算法的HSI模型图像分割

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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.
机译:根据粒子群算法的特点,提出了一种基于改进的粒子群算法的HSI模型图像分割方法。首先介绍了该算法的基本原理。其次,分析了图像分割的特点。最后,提出了一种基于改进粒子群优化算法的图像分割方法,该方法可以有效克服传统粒子群优化算法速度慢,分割质量差等缺点。实验结果证明,改进算法是实际应用中的一种有效的图像分割方法,可以准确地分割出物体。

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