Zhu Mingfeng, Du Jianqiang, Meng Fan, Zhang Kang, Ding Chenghua
School of Computer Science, Jiangxi University of Traditional Chinese Medicine, Nanchang 330004, China.
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi. 2012 Feb;29(1):152-6.
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 additional, 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.
本文分析了舌偏的旧分析方法，并介绍了一种具有自我修正功能的舌偏新分析方法，避免了旧方法的缺点。本文对当前的中轴线提取方法进行了比较和分析，事实证明这些方法不适用于舌图像的中轴线提取。为了克服旧方法利用区域对称性提取中轴线从而导致无法找到中轴线的缺点，我们引入了一种形状对称性分析方法来提取中轴线。该方法能够自动校正舌根边缘，提高了中轴线提取的准确性。此外，本文还介绍了一种通过分析舌图像的变化色调来进行嘴角分析的方法。在对比实验中，该方法比旧方法更准确，效率也更高。
