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Study on Digitization of TCM Diagnosis Applied Extraction Method of Blood Vessel

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DOI: 10.4236/jsip.2011.24043    5,071 Downloads   7,503 Views   Citations

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.

Conflicts of Interest

The authors declare no conflicts of interest.

Cite this paper

C. Wu and K. Harada, "Study on Digitization of TCM Diagnosis Applied Extraction Method of Blood Vessel," Journal of Signal and Information Processing, Vol. 2 No. 4, 2011, pp. 301-307. doi: 10.4236/jsip.2011.24043.

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