基于改进型FCM算法的牛肉大理石花纹提取方法  

Beef Marbling Extraction Based on Modified Fuzzy C-means Clustering Algorithm

作　　者：仇金宏[1] 沈明霞[1] 彭增起[2] 梁琨[1] 吴海娟[1] 史杰[2] 

机构地区：[1]南京农业大学工学院,南京210031 [2]南京农业大学食品学院,南京210095

出　　处：《农业机械学报》2010年第8期184-188,共5页Transactions of the Chinese Society for Agricultural Machinery

基　　金：农业部肉牛产业技术体系资助项目(080600231;080600232)

摘　　要：提出了一种基于改进型模糊C均值聚类算法的牛肉大理石花纹提取方法。该方法结合了快速模糊C均值(FCM)聚类算法,对传统FCM算法中的隶属函数、聚类数C和初始聚类中心点选取方法进行了优化。试验表明,该方法使牛肉大理石花纹提取的准确度由76.2%提高到85.7%。Beef marbling extraction method based on modified fuzzy C-means clustering algorithm was proposed. The proposed method combined with the fast fuzzy C-means clustering algorithm. The membership function,number of clusters C and the selection of initial cluster center in traditional fuzzy C-means clustering algorithm were modified. Experiments showed that,with the proposed method,the accuracy of marbling extraction was increased from 76.2% to 85.7%.

关 键 词：牛肉 大理石花纹 提取 模糊C均值 

分 类 号：TS251.52[轻工技术与工程—农产品加工及贮藏工程] TP391.41[轻工技术与工程—食品科学与工程]