中文摘要：

文章首先通过非线性变换把RGB彩色图像转换为HSV彩色图像,然后和构造的一个卷积模板相乘,将相乘结果用于文中提出的改进粒子群优化算法中,将图像分割出来,从而文章提出了一种新的彩色图像分割方法。经过仿真实验表明,文中提出的方法不仅图像分割效果好,而且运算时间也有明显减少,改进粒子群优化算法收敛快且稳定,从而证明了该方法是可行和有效的。

英文摘要：

Firstly,the RGB color image is converted to HSV color image through a nonlinear transformation.then multiply the convolution mask of construction,the results will be used in an improved particle swarm optimization algorithm in this paper.Then determine the boundary points,the final image is cut up,and in this paper proposed a new color image segmentation method.After simulation results show that the proposed method not only cut up image segmentation is good,and the computation time significantly reduced,and improved particle swarm optimization algorithm converges fast and stable,which proves that the method is feasible and effective.