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LEVEL SET METHOD BASED TONGUE SEGMENTATION IN TRADITIONAL CHINESE MEDICINE

机译:基于水平集方法的中药舌段分离

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摘要

The correct segmentation of the tongue is the precondition to the quantification of tongue diagnosis in Traditional Chinese Medicine. The main method at present is by Snake model which uses the gradient of a tongue image as external energy to make the initial contour converge to the edge of the tongue body. Although this method has strong adaptive capability, it has a defect: for those images including the lower lip, the final contour often converges to the edge of the lip. To address the problem, a geometric model is proposed to correct the edges influenced by large concavity or sharp angle such as those with the lower lip. With this model, the initial contour does not include the whole lip. Then the initial contour is evolved toward the edge of the tongue body by Geodesic Active Contour Model after the Signed Distance Function is constructed. From the experiment results, the method is demonstrated to have good segmentation accuracy.
机译:正确分割舌头是量化中医舌诊诊断的前提。目前的主要方法是利用Snake模型,该模型利用舌图像的梯度作为外部能量使初始轮廓收敛到舌体的边缘。尽管此方法具有很强的自适应能力,但它有一个缺陷:对于包括下唇在内的那些图像,最终轮廓通常会收敛到唇缘。为了解决该问题,提出了一种几何模型来校正受大凹或锐角影响的边缘,例如下唇的边缘。使用此模型,初始轮廓不包括整个嘴唇。然后在构造符号距离函数之后,通过测地线主动轮廓模型将初始轮廓向舌体边缘演化。实验结果表明,该方法具有良好的分割精度。

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