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一种基于活动形状模型算法的耳郭穴区定位方法
引用本文:王逸卉,江淼,黄娜,温军玲.一种基于活动形状模型算法的耳郭穴区定位方法[J].北京生物医学工程,2021,40(2):145-150.
作者姓名:王逸卉  江淼  黄娜  温军玲
作者单位:上海中医药大学针灸推拿学院,上海 201203
摘    要:目的耳穴疗法是中医的重要组成部分,而耳穴定位是治疗的前提。由于耳郭面积较小、耳穴众多导致自动寻穴困难,本文提出一种基于图像处理技术的耳郭穴区定位方法。方法通过对来自于北京科技大学USTB人耳图像库和自行采集图像共30幅构建训练集,在最新耳穴国家标准GB/T13734-2008的基础上,选取包含耳郭边缘点、曲率极大值点、等分点等在内的65个特征点构建点分布模型(point distribution model,PDM),采用基于活动形状模型(active shape model,ASM)的图像处理方法,对待测人耳图像搜索匹配后,通过分别连接构成耳郭穴区的特征点,实现对人耳图像的穴区定位。最后通过计算定位后与人工标定的特征点之间的欧几里得距离,对定位的精度进行评估。结果该方法能初步实现耳郭的穴区定位,欧几里得平均距离为6.246±0.429。结论基于ASM的耳郭穴区定位方法能初步实现人耳图像的穴区定位,有利于耳穴疗法的穴区定位、耳穴自动化仪器的开发和中医耳穴示教等。

关 键 词:中医  耳穴疗法  耳穴分区  图像处理  活动形状模型

A location method of auricular acupoint divisions based on active shape model algorithm
WANG Yihui,JIANG Miao,HUANG Na,WEN Junling.A location method of auricular acupoint divisions based on active shape model algorithm[J].Beijing Biomedical Engineering,2021,40(2):145-150.
Authors:WANG Yihui  JIANG Miao  HUANG Na  WEN Junling
Institution:(School of Acupuncture and Massage,Shanghai University of Traditional Chinese Medicine,Shanghai 201203)
Abstract:Objective Auricular acupoint therapy is an important part of traditional Chinese medicine,and the location of auricular acupoint is the premise of treatment.It is hard to locate the auricular acupoints automatically because of too small auricular area and too many auricular acupoints.This paper proposes a location method of auricular acupoint division based on image processing technology.Methods A training set of 30 human ear images from the Human Ear Recognition Laboratory of University of Science and Technology Beijing was constructed.Then integrated with the latest national standard of auricular points(GB/T13734-2008),65 feature points including auricular edge point,curvature maximum point and bisection point were selected for each image to establish a point distribution model(PDM).Next an image processing method based on active shape model(ASM)was used to search the object ear image.And then through connecting the feature points of each auricular acupoint area,the location of ear image was realized.Finally,the accuracy was evaluated by using Euclidean distance evaluation index between the location of auricular acupoints and the location of artificial landmarks.Results This method could realize the location of auricular acupoint divisions.The average Euclidean distance value was 6.246±0.429.Conclusions The location method of auricular acupoint divisions based on ASM can realize the location of auricular acupoint division,which is benefit to the development of automatic instrument for auricular acupoint therapy and can help the teaching of the related ear points of traditional Chinese medicine.
Keywords:traditional Chinese medicine  auricular acupoint therapy  auricular acupoint division  image processing  active shape model
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