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一种具有自校正的舌象歪斜自动分析方法

A New Method of Automatic Analysis of Tongue Deviation Using Self-correction

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【作者】 朱明峰杜建强孟凡张康丁成华

【Author】 Zhu Mingfeng1 Du Jianqiang1 Meng Fan2 Zhang Kang1 Ding Chenghua31(School of Computer Science,Jiangxi University of Traditional Chinese Medicine,Nanchang 330004,China)2(Department of Postgraduate,Jiangxi University of Traditional Chinese Medicine,Nanchang 330004,China)3(School of Fundamental Medical Science,Jiangxi University of Traditional Chinese Medicine,Nanchang 330004,China)

【机构】 江西中医学院计算机学院江西中医学院研究生部江西中医学院基础医学院

【摘要】 本文对原有的舌象歪斜分析方法进行了分析,针对其中的不足,提出了一种具有自校正的舌象歪斜自动分析方法。比较和分析了现有中轴提取方法,事实证明这些方法均不适用于舌象的中轴提取。为了克服原有方法利用面积对称寻找中轴可能造成找到错误中轴的问题,在文章中设计了一种利用形态对称分析提取中轴的算法,该算法具有自动校正舌根部位的边界的能力,提高了中轴分析的准确程度。提出了一种借助舌象的变异色调分量进行嘴角分析的方法。在对比实验中,该方法较原有方法有更高的准确性,并且效率较原有方法更高。

【Abstract】 The article analyzes the old analysis method of tongue deviation and introduces a new analysis method of it with self-correction avoiding the shortcomings of the old method.In this article,comparisons and analyses are made to current central axis extraction methods,and the facts proved that these methods were not suitable for central axis extraction of tongue images.To overcome the shortcoming that the old method utilized area symmetry to extract central axis so that it would lead to a failure to find central axis,we introduced a kind of shape symmetry analysis method to extract the central axis.This method was capable of correcting the edge of tongue root automatically,and it improved the accuracy of central axis extraction.In additiona,in this article,a kind of mouth corner analysis method by analysis of variational hue of tongue images was introduced.In the experiment for comparison,this method was more accurate than the old one and its efficiency was higher than that of the old one.

【关键词】 自校正舌象歪斜舌诊客观化
【Key words】 Self-correctionTongue deviationTongue diagnosisObjective
【基金】 江西省自然科学基金资助项目(2009GZS0058);江西省教育厅科技项目资助(GJJ10026);江西省卫生厅中医药科研基金资助项目(2008A054)
  • 【文献出处】 生物医学工程学杂志 ,Journal of Biomedical Engineering , 编辑部邮箱 ,2012年01期
  • 【分类号】R241;R318.0
  • 【被引频次】4
  • 【下载频次】147
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