一种有效的舌体提取算法研究  

Study of an Effective Tongue Body Extraction Algorithm

作　　者：张志顺[1,2] 奚建清[2] 刘勇[3] 

机构地区：[1]嘉应学院医学院,广东梅州514031 [2]华南理工大学软件学院,广东广州510006 [3]华南理工大学计算机科学与工程学院,广东广州510006

出　　处：《微电子学与计算机》2015年第4期116-119,124,共5页Microelectronics & Computer

基　　金：国家自然科学基金资助项目(60973084);广东省自然科学基金项目(9151064101000106)

摘　　要：针对在舌象中较难准确分离舌体的问题,提出从舌体的颜色、形状、位置等先验知识出发,采用HIS色彩模型去除舌象中的嘴唇、脸部等信息,获得舌体初始轮廓,然后用舌体修正模型修正舌体初始轮廓,最后用改进的GAC算法提取舌体.通过舌体提取实验及分析,表明该方法在舌体提取时,不仅能克服嘴唇和脸部的影响,而且在舌体凹陷区域和边缘模糊区域均能取得较好的提取效果.舌体的准确提取为下一步舌质舌苔的分离打下了良好基础.In order to solve the problem of segmenting the tongue body from a tongue picture,a novel algorithm is proposed,which is based on prior knowledge of color,shape and position of tongue body.Using HIS color model,our algorithm preserves the contour of tongue body while information of lip and face tissues are removed accurately.After that,the contour is refined by a regularization model of tongue body.Finally,the tongue body is extracted by an improved GAC algorithm.Experiments show that the proposed method works well in presence of lip and face tissues.In addition,good results are obtained by the proposed algorithm in spite of the sunken area and blurred contour of tongue body.Accurate segmentation of tongue body plays an important role of preparing good extraction of coating on the tongue.

关 键 词：舌体提取 先验知识 HIS色彩模型 舌体修正模型 GAC算法 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]