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G. D. Zhu, L. Shen and J. J. Wang, “Automatic Vessel Extraction for Sclera-Conjunctiva Images Based on Exploratory Tracking,” Computer Engineering, Vol. 31, No. 17, 2005, pp. 6-8.

has been cited by the following article:

• TITLE: Study on Digitization of TCM Diagnosis Applied Extraction Method of Blood Vessel

  AUTHORS: Cong Wu, Koichi Harada

  KEYWORDS: Traditional Chinese Medicine, Blood Vessel In White Eye Ball, Binary Processing, Pseudo Vessel Removal, Digitalization, Edge Analyze, Feature Parameter

  JOURNAL NAME: Journal of Signal and Information Processing, Vol.2 No.4, November 16, 2011

  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.