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舌象光谱的区域图像分析。

Regional image analysis of the tongue color spectrum.

机构信息

Department of Japanese-Oriental Medicine, Graduate School of Medicine, Chiba University, 1-8-1 Inohana, Chuo-ku, Chiba 260-8670, Japan.

出版信息

Int J Comput Assist Radiol Surg. 2011 Jan;6(1):143-52. doi: 10.1007/s11548-010-0492-x. Epub 2010 Jun 9.

Abstract

PURPOSE

Kampo medicine (Japanese traditional herbal medicine) can identify "Mibyou" (disease-oriented state) based on visual tongue inspection by a trained physician. Surface colors of uncoated tongue provide essential features. A hyperspectral imaging system which performs regional image analysis of the tongue color spectrum was developed to automatically inspect the uncoated tongue.

METHODS

Hyperspectral tongue surface images were acquired by a camera equipped with an integrating sphere. The color spectrum from 4 tongue areas--uncoated tongue, coated tongue, lip, and perioral areas--were quantified. The average spectrum of each area was determined and 4 images calculated by focusing on the differences between respective spectra; highlight, shadow, tongue coat, and lip-weighted images were calculated. The uncoated tongue area was extracted by subtraction.

RESULTS

Reproducibility was evaluated by applying the camera and extraction algorithm to 44 images from human subjects. Eighty-two percentage were judged as acceptable by a Kampo medicine physician expert.

CONCLUSIONS

Using a hyperspectral camera and extraction algorithm, the tongue color of the uncoated part was automatically extracted. This technique is suitable for tongue color analysis and may help non-trained users to identify "Mibyou".

摘要

目的

汉方药(日本传统草药)可以通过经过培训的医生进行视觉舌诊来识别“未病”(以疾病为导向的状态)。未上涂层的舌面颜色提供了基本特征。我们开发了一种高光谱成像系统,可对舌色光谱进行区域图像分析,从而实现自动检查未上涂层的舌面。

方法

通过配备积分球的相机获取高光谱舌面图像。对未上涂层的舌、涂层舌、嘴唇和口周区域这 4 个舌区域的颜色光谱进行量化。确定每个区域的平均光谱,并通过关注各个光谱之间的差异计算 4 个图像;计算高光、阴影、舌苔和唇加权图像。通过减法提取未上涂层的舌区域。

结果

通过将相机和提取算法应用于来自人类受试者的 44 个图像来评估可重复性。由汉方医学医师专家判断,82%的图像被认为是可接受的。

结论

使用高光谱相机和提取算法,可以自动提取未上涂层部分的舌色。该技术适用于舌色分析,可能有助于未经训练的用户识别“未病”。

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