Abstract
This paper presents a study on digitization of Traditional Chinese Medicine diagnosis. The research consists of two aspects: a) algorithms for blood vessels extraction in sclera-conjunctiva images, which can be applied in syndrome differentiation by observing human eyes (named Ocular Diagnostic in Traditional Chinese Medicine); b) digitization of extracted vessels. First, sclera-conjunctiva region is isolated by optimal threshold segmentation and mathematical operation; Scanning and edge detection methods are used to gain the edge of the blood vessels. Moreover, the edge feature parameters are gained, which can be used to reconstruct the blood vessels. Experimental results show that blood vessels information can be obtained fast and accurately for the further TCM diagnosis by artificial system.
Highlights
In China and other countries in the world, there are still many people benefit by Traditional Chinese Medicine (TCM) for the early diagnosis
The research consists of two aspects: 1) algorithms for blood vessels extraction in sclera-conjunctiva images, which can be applied in syndrome differentiation by observing human eyes; 2) digitization of extracted vessels
Sclera-conjunctiva region is isolated by optimal threshold segmentation and mathematical operation; Scanning and edge detection methods are used to gain the edge of the blood vessels
Summary
In China and other countries in the world, there are still many people benefit by Traditional Chinese Medicine (TCM) for the early diagnosis. One of the most unique features among oriental traditional medicine is Non-intrusive Diagnosis and Treatment, and it is best exemplified by Chinese traditional medicine’s famous Four Methods: Looking, Palpating, Asking and Listening/Smelling, with which a doctor diagnose the patients thoroughly, analyze, and follow up measures. This methodology has been working very well for the past 2000 years, and made a significant contribution on human health. Comparing to its strong competitors—Western Orthodox Medicine, TCM has came up short of diagnosis precision and, in particular, is lack of concrete basis on which to make a sound judgment, which in turn makes it difficult for inexperienced doctor to diagnose [2]
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