DocumentCode
2374987
Title
Research on Extraction and Digitization Method of Blood Vessels for TCM Diagnosis
Author
Wu, Cong ; Harada, Koichi
Author_Institution
Grad. Sch. of Eng., Hiroshima Univ., Hiroshima, Japan
fYear
2011
fDate
15-16 May 2011
Firstpage
223
Lastpage
228
Abstract
This paper presents 1) 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), 2) digitization of extracted vessels. First, sclera-conjunctiva region is isolated by optimal threshold segmentation and mathematical operation. Second, 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 the algorithms can obtain blood vessels information fast and accurately.
Keywords
blood vessels; edge detection; feature extraction; image reconstruction; image segmentation; mathematical analysis; medical image processing; TCM diagnosis; blood vessels extraction; blood vessels reconstruction; edge detection methods; edge feature parameters; mathematical operation; ocular diagnostic; optimal threshold segmentation; sclera conjunctiva images; traditional chinese medicine; vessels digitization; Blood vessels; Gray-scale; Image edge detection; Image reconstruction; Medical diagnostic imaging; Pixel; blood vessel in sclera-conjunctiva region; digitalization technology; edge analyze; feature parameter in edge; pseudo vessel;
fLanguage
English
Publisher
ieee
Conference_Titel
Digital Media and Digital Content Management (DMDCM), 2011 Workshop on
Conference_Location
Hangzhou
Print_ISBN
978-1-4577-0271-6
Electronic_ISBN
978-0-7695-4413-7
Type
conf
DOI
10.1109/DMDCM.2011.16
Filename
5959747
Link To Document