Distributed image clustering algorithm based on multi-agent technology
一种基于多主体技术的分布式图像聚类算法

Medical images have the characteristics of lower contrast and higher fuzziness in different organizations. This paper proposed a clustering algorithm, which was based on multi-agent and gray-scale mathematical morphology operations. It combined agent technology and gray-scale mathematical morphology model in the algorithm. And it selected the structural element of the mathematical morphology as agent. It distributed each agents of different types randomly in the discrete spatial grid, and according to the type of its structural elements, it chose the appropriate operations with the given the neighborhood average operator to realize the image clustering in the same time control system driven. The algorithm did not require a priori knowledge and pre-processing operations, and it was not sensitive to the initial cluster points and need not prior input the number of clusters. This algorithm had distributed parallel computing capabilities and self-analysis capabilities. The experimental results show that the algorithm has the accuracy and reliability.