基于大数据分析的混合属性图像冗余特征聚类系统设计  

Design of big data analysis based redundant feature clustering system for hybrid attribute images

作　　者：龙虎 梁丽香 LONG Hu;LIANG Lixiang(School of Big Data Engineering,Kaili University,Kaili 556011,China)

机构地区：[1]凯里学院大数据工程学院,贵州凯里556011

出　　处：《现代电子技术》2020年第13期49-52,共4页Modern Electronics Technique

基　　金：贵州省教育厅自然科学研究资助项目:基于拟态计算的高效能大数据应用平台构建研究(黔教合KY字[2018]356);贵州省科技厅联合基金资助项目(黔科合LH字[2014]7229)。

摘　　要：传统的图像聚类系统得到的聚类结果往往不是最优结果。为了解决这一问题,基于大数据分析技术设计了一种新的混合属性图像冗余特征聚类系统。系统硬件由图像搜索器、网络端服务器、特征索引器、查询器、预处理器、图像数据库、聚类器组成。图像搜索器利用Spider处理器完成搜索,利用API接口和嵌入式管理系统管理图像数据库,建立颜色直方图实现颜色特征处理。软件由图像搜索、图像特征处理、冗余特征聚类三步组成,利用IGroup算法实现聚类。与传统聚类系统进行实验对比,结果表明,新的聚类系统能够在短时间内输出最优的聚类结果,适合图像处理工作。In most cases,the clustering results obtained by the traditional image clustering system are not optimal.For this reason,a new redundant feature clustering system for hybrid attribute images is designed based on the big data analysis technology.The system hardware consists of image searcher,network server,feature indexer,querier,preprocessor,image database and clustering device.The Spider processor is used by the image searcher to complete search.The API interface and embedded management system are used to manage the image database and establish the color histogram,so as to realize color feature processing.The software functions consist of image search,image feature processing and redundant feature clustering to achieve clustering by means of the IGroup algorithm.The experiments for contrast between the proposed system and the traditional clustering system were performed.The results show that the proposed clustering system can output optimal clustering results in a short time.Therefore,it is suitable for image processing.

关 键 词：系统设计 冗余特征聚类 混合属性图像 图像搜索 大数据分析 图像处理 

分 类 号：TN911.73-34[电子电信—通信与信息系统] TP391[电子电信—信息与通信工程]