一种新的MLBP-Otsu算法及在舌裂纹分割中的应用  

New MLBP-Otsu method and its application in tongue crack image segmentation

作　　者：覃海松 黄忠朝[1] 赵于前[1] 彭子壮 

机构地区：[1]中南大学地球科学与信息物理学院生物医学工程研究系,长沙410083 [2]广州中医药大学第二临床医学院,广州510405

出　　处：《计算机工程与应用》2014年第23期151-155,180,共6页Computer Engineering and Applications

基　　金：中南大学中央高校基本科研业务费专项资金(No.2011QNZT013);国家自然科学基金面上项目(No.61172184)

摘　　要：中医舌诊中只有精确、完整地分割出舌裂纹,才能准确地对舌裂纹信息进行定量化的特征表示与描述,而目前少有方法能达到此要求。为此,提出了一种新颖的基于改进的局部二值模式(Local Binary Pattern,LBP)算子与Otsu阈值分割技术相结合的舌裂纹分割算法(MLBP-Ostu算法)。根据舌裂纹的纹理特征对传统LBP的模式分类方法进行重定义;引入一个粗糙度度量因子R,如某区域的R值偏小或偏大,则把其归类为非裂纹区,不进行LBP特征值计算;利用Otsu方法对前面得到的LBP特征图进行阈值分割,从而得到舌裂纹的二值图像。实验结果表明,该算法能较精确、完整地分割出舌裂纹,并且不需要预先分割出舌体区域,为将来舌诊的定量化研究及临床应用提供了有效手段。To represent and describe the tongue crack information of tongue diagnosis in Traditional Chinese Medicine （TCM）, it needs to segment tongue cracks from tongue image correctly and completely. But few methods can meet the requirements. In this paper, a novel method based on the combination of modified LBP（Local Binary Pattern）operator and Otsu’s threshold technique is proposed, i.e., MLBP-Ostu algorithm. The principle of classification of the traditional LBP local pattern has been redefined according to the texture features of tongue tracks. A roughness measurement factor R is introduced. The region with over-high or over-low R value will be regrouped into the meaningless subclass, and the LBP operator will not operate on the central pixel of this region. To acquire the final binary image with true cracks, the Otsu’s method is used to threshold the LBP feature image obtained by the fore step. Experiments on the several of typical tongue images show that the method proposed in this paper can achieve correct and complete segmentation of tongue cracks. In addition, it isn’t necessary to segment the tongue body part from tongue image in advance. So, it will be an effective tool for the research on the quantification of tongue diagnosis and its clinical application.

关 键 词：中医舌诊 舌裂纹 局部二值模式 OTSU法 

分 类 号：TP751[自动化与计算机技术—检测技术与自动化装置]