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An Algorithm for Extraction of Near Infrared Sublingual Veins

机译：一种近红外舌下静脉近舌静脉算法

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摘要

Sublingual vein is one important diagnostic measurement in Tongue Diagnosis. Segmentation method of sublingual veins from the near infrared sublingual images is proposed in this paper. According to the characteristic of the captured near infrared sublingual images, the radial projection method based on watershed algorithm is firstly applied to acquire the entire contour of the sublingual region, and then Dynamic thresholding is utilized to complete the binarization of the obtained effective sublingual region, and further confirm the candidate sublingual veins regions by considering the intensity feature of near infrared sublingual vein image. Finally, region growing is iteratively performed, which is restricted by original intensity feature of the near infrared sublingual image, to trace the contour of sublingual veins. Experimental results reveal that, the proposed methods did effectively isolate the sublingual veins and the surrounding tongue proper, and precisely trace the boundary of the sublingual veins.
机译：舌下静脉是舌诊断中的一个重要诊断测量。本文提出了近红外舌下图像的舌下静脉的分割方法。根据捕获的近红外舌下图像的特性，首先应用基于流域算法的径向投影方法来获取舌下区域的整个轮廓，然后利用动态阈值处理来完成所获得的有效舌下区域的二值化，通过考虑近红外舌下静脉图像的强度特征，进一步确认候选舌下静脉区域。最后，迭代地进行区域生长，这是由近红外舌下图像的原始强度特征的限制，以追踪舌下静脉的轮廓。实验结果表明，所提出的方法确实有效地将舌下静脉和周围舌头正确隔离，并精确地追踪舌下静脉的边界。

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