基于贝叶斯决策论的自适应舌脉分割方法  

Adaptive sublingual vein extraction based on Bayesian decision

作　　者：闫子飞[1] 王宽全[1] 李乃民[2] 

机构地区：[1]哈尔滨工业大学计算机科学与技术学院,哈尔滨150001 [2]解放军第二一一医院,哈尔滨150080

出　　处：《高技术通讯》2007年第5期453-457,共5页Chinese High Technology Letters

基　　金：国家自然科学基金（90209020）、国家自然科学基金重大国际合作项目（60620160097）和863计划（863-306-ZT04-06-6）资助项目.

摘　　要：提出了一种新型舌脉轮廓分割技术。建立了基于大量已标注舌下图像样本基础上的舌脉颜色模型,该模型由贝叶斯决策论结合CIEYxy颜色空间构成。在舌脉分割过程中,将每次通过阈值化得到的舌脉部分与非舌脉部分作为两个独立的类,它们的类内离散度与类间离散度将用于定义相似性量度,以辅助舌脉分割过程。通过实验证明,该分割方法对舌脉及其背景颜色对比度较小的正常人舌脉轮廓提取有较好效果。A novel segmentation technique of sublingual vein extraction was proposed. The sublingual vein color model which combined the Bayesian decision with CIEYxy color space was established based on a large number of labeled sublingual images. During the setBnentation process, the sublingual vein and non-sublingual vein parts were treated as independent classes, whose within-class scatter matrix and between-class scatter matrix were used to assist segmentation by defining the similarity measurement. The experiments proved that the proposed method performed very well on the segmentation of images from normal people with weak color contrast between sublingual vein and its background.

关 键 词：舌脉颜色模型 贝叶斯决策论 CIE色度图 相似性量度 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]