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http://dx.doi.org/10.3745/KIPSTB.2003.10B.5.521

Intensity Information and Curve Evolution Based Active Contour Model  

Kim, Seong-Kon (부산가톨릭대학교 컴퓨터 정보공학부)
Publication Information
The KIPS Transactions:PartB / v.10B, no.5, 2003 , pp. 521-526 More about this Journal
Abstract
In this paper, we propose a geometric active contour model based on intensity information and curve evolution for detecting region boundaries. We put boundary extraction problem as the minimization of the difference between the average intensity of the region and the intensity of the expanding closed curves. We used level set theory to implement the curve evolution for optimal solution. It offered much more freedom in the initial curve position than a general active contour model. Our methods could detect regions whose boundaries are not necessarily defiened by gradient compared to general edge based methods and detect multiple boundaries at the same time. We could improve the result by using anisotropic diffusion filter in image preprocessing. The performance of our model was demonstrated on several data sets like CT and MRI medical images.
Keywords
Level set; Curve Evolution; Active Contour Model; Anisotropic;
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Times Cited By KSCI : 1  (Citation Analysis)
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