高光谱成像用于中医舌诊舌苔信息提取

舌苔信息的提取对于中医舌诊客观化起着非常重要的作用,目前中医舌苔信息提取多基于图像处理技术,用数码相机拍摄舌体RGB彩色图像,然而,现有的方法在信息量方面还不能满足中医临床的需要,为了探究舌体更多信息,本研究将高光谱成像技术用于中医舌诊舌苔信息的提取中,以获得在全波段内舌体信息进而为中医舌诊诊断方式以及客观化提供一种新途径。首先运用高光谱采集系统采集来检者舌体在371.200 0~992.956 0nm之间的343个波长的高光谱信息,并且记录来检者的中医舌诊的临床诊断结果,然后对采集到的16例来检者的高光谱图像进行感兴趣区域提取,即将舌体信息与背景信息进行分离,进而对提取的感兴趣区域舌质与舌苔光谱信息和图像信息进行处理。由实验结果分析发现,16例来检者舌苔和舌质部分光谱差异最大波段位于525~600nm之间,对382.108 0~963.668 0nm之间均匀提取9个波长处的舌体单一波长的二维图像信息并进行图像绘制,通过对比来检者舌体实际情况发现在527.548 0nm处能够很好的真实反映舌体表面舌苔附着情况,实验结果表明,高光谱技术在中医舌苔信息提取方面具有一定的可行性,能够为中医舌诊舌苔分离以及舌苔信息提取提供一种快速、简便的检测手段。

Tongue Coat Information Extraction of the Traditional Chinese Medicine with Hyperspectral Image

Tongue coat information extraction plays an important role in disease diagnosis for the traditional Chinese medicine. For the purpose of quantifying the tongue coat properties in traditional Chinese medicine,most of the existing methods are based on computerized image analysis,carrying out RGB color space in a tongue imaging captured with digital camera.However,those methods cannot meet the requirements of clinical medicine.To explore more information about the tongue obj ectively,a new ap-proach to analyze tongue information based on hyperspectral images is presented.Hyperspectral images are acquired using the hyperspectral imaging system in the spectral range of 370.200 0 to 992.956 0 nm (343bands),and the traditional Chinese medi-cine clinical diagnosis information is recorded.The main region of interest (ROI)in the samples is extracted while the back-ground is removed from the tongue image,then tongue information of ROI is analyzed.The largest different spectral characteris-tics between tongue proper and tongue coat are found in the wavelength range of about 525 to 600 nm.Nine wavelengths tongue spectral images from 382.108 0 to 963.668 0 nm are extracted,then comparing with the actual tongue situation,we find that the spectral image at 527.548 0 nm band can better reflect the actual tongue situation than others.The experiment results show that hyperspectral imaging technique is very helpful for tongue coat information extraction of the traditional Chinese medicine,and this new analysis approach can provide a fast and simple non-invasive detection method for tongue coat segmentation and tongue coat information extraction.