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http://dx.doi.org/10.5351/KJAS.2011.24.2.335

Image Segmentation Using Level Set Method with New Speed Function  

Kim, Sun-Worl (Department of Statistics, Chonnam National University)
Cho, Wan-Hyun (Department of Statistics, Chonnam National University)
Publication Information
The Korean Journal of Applied Statistics / v.24, no.2, 2011 , pp. 335-345 More about this Journal
Abstract
In this paper, we propose a new hybrid speed function for image segmentation using level set. A new proposed speed function uses the region and boundary information of image object for the exact result of segmentation. The region information is defined by the probability information of pixel intensity in a ROI(region-of-interest), and the boundary information is defined by the gradient vector flow obtained from the gradient of image. We show the results of experiment for an various artificial image and real medical image to verify the accuracy of segmentation using proposed method.
Keywords
Medical image segmentation; level set method; hybrid speed function; gradient vector flow;
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