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Classification of hyperspectral medical tongue images for tongue diagnosis

机译:用于舌诊的高光谱医用舌图像分类

摘要

Human tongue is one of the important organs of the body, which carries abound of information of the health status. The images of the human tongue that are used in computerized tongue diagnosis of traditional Chinese medicine (TCM) are all RGB color images captured with color CCD cameras currently. However, this conversional method impedes the accurate analysis on the subjects of tongue surface because of the influence of illumination and tongue pose. To address this problem, this paper presents a novel approach to analyze the tongue surface information based on hyperspectral medical tongue images with support vector machines. The experimental results based on chronic Cholecystitis patients and healthy volunteers illustrate its effectiveness.
机译:人的舌头是人体的重要器官之一,它承载着大量的健康状况信息。目前,用于中医计算机化舌诊(TCM)的人舌图像都是使用彩色CCD相机拍摄的RGB彩色图像。但是,由于照明和舌头姿势的影响,这种转换方法妨碍了对舌头表面对象的准确分析。为了解决这个问题,本文提出了一种基于高光谱医学舌图像的支持向量机来分析舌表面信息的新方法。基于慢性胆囊炎患者和健康志愿者的实验结果证明了其有效性。

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