X-ray Coal Purity Examination Base on Particle Swarm Optimization Clustering

摘要：

　　the paper mainly researched on the usage of particle swarm in image clustering.A fitness function is designed based on the principle of minimum in cluster distance and maximum between cluster distance.And particle swarm optimization, which is combined with fuzzy clustering, is used in image clustering.A system of X-ray coal image purity detection is developed and tested.According to the intensity distribution of X-ray images, an area of interest is selected based on Gaussian distribution property which greatly cut down the data to be processed.On the basis of that, particle swarm clustering is applied, and impurities are selected based on the fact that impurities are always tiny intensity elements.Experiments show that the approach is effective.

关键词： coal purity particle swarm clustering analysis X-ray fitness function

作者: Long Hao Huo Na Yang Yong Yu Bencheng

作者单位: Xuzhou College of Industrial Technology,Jangsu,China

会议类型: 国际会议

会议名称: 2013 International Conference on Education Technology and Information Systems(ICETIS2013)2013教育技术与信息系统国际会议

会议地点: 三亚

会议语种:英文

页码: 637-640

在线出版日期: 2013-06-21（万方平台首次上网日期，不代表论文的发表时间）