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http://dx.doi.org/10.6109/jkiice.2010.14.4.967

Image Segmentation of Special Area Using the Level Set  

Joo, Ki-See (목포해양대학교 해상운송시스템학부)
Choi, Deog-Sang (목포해양대학교 해상운송시스템학부)
Abstract
Image segmentation is one of the first steps leading to image analysis and interpretation, which is to distinguish objects from background. However, the active contour model can't exactly extract the desired objects because the phase only is 2. In this paper, we propose the method which can find the desired contours by composing the initial curve near the objects which have intensities of special range. The initial curve is calculated by the histogram equalization, the Gaussian equalization, and the threshold. The proposed method reduce the calculation speed and exactly detect the wanted objects because the initial curve set near by interested area. The proposed method also shows more efficient than the active contour model in the results applied the CT and MR images.
Keywords
Image segmentation; Level set; Active contour model; Equalization;
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