计算机工程与应用
計算機工程與應用
계산궤공정여응용
COMPUTER ENGINEERING AND APPLICATIONS
2014年
23期
151-155,180
,共6页
覃海松%黄忠朝%赵于前%彭子壮
覃海鬆%黃忠朝%趙于前%彭子壯
담해송%황충조%조우전%팽자장
中医舌诊%舌裂纹%局部二值模式%Otsu法
中醫舌診%舌裂紋%跼部二值模式%Otsu法
중의설진%설렬문%국부이치모식%Otsu법
tongue diagnosis%tongue crack%local binary pattern%Otsu’s method
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。
中醫舌診中隻有精確、完整地分割齣舌裂紋,纔能準確地對舌裂紋信息進行定量化的特徵錶示與描述,而目前少有方法能達到此要求。為此,提齣瞭一種新穎的基于改進的跼部二值模式(Local Binary Pattern,LBP)算子與Otsu閾值分割技術相結閤的舌裂紋分割算法(MLBP-Ostu算法)。根據舌裂紋的紋理特徵對傳統LBP的模式分類方法進行重定義;引入一箇粗糙度度量因子R ,如某區域的R值偏小或偏大,則把其歸類為非裂紋區,不進行LBP特徵值計算;利用Otsu方法對前麵得到的LBP特徵圖進行閾值分割,從而得到舌裂紋的二值圖像。實驗結果錶明,該算法能較精確、完整地分割齣舌裂紋,併且不需要預先分割齣舌體區域,為將來舌診的定量化研究及臨床應用提供瞭有效手段。
중의설진중지유정학、완정지분할출설렬문,재능준학지대설렬문신식진행정양화적특정표시여묘술,이목전소유방법능체도차요구。위차,제출료일충신영적기우개진적국부이치모식(Local Binary Pattern,LBP)산자여Otsu역치분할기술상결합적설렬문분할산법(MLBP-Ostu산법)。근거설렬문적문리특정대전통LBP적모식분류방법진행중정의;인입일개조조도도량인자R ,여모구역적R치편소혹편대,칙파기귀류위비렬문구,불진행LBP특정치계산;이용Otsu방법대전면득도적LBP특정도진행역치분할,종이득도설렬문적이치도상。실험결과표명,해산법능교정학、완정지분할출설렬문,병차불수요예선분할출설체구역,위장래설진적정양화연구급림상응용제공료유효수단。
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.