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http://dx.doi.org/10.7472/jksii.2012.13.4.53

Color Object Segmentation using Distance Regularized Level Set  

Anh, Nguyen Tran Lan (전남대학교 전자컴퓨터공학과)
Lee, Guee-Sang (전남대학교 전자컴퓨터공학과)
Publication Information
Journal of Internet Computing and Services / v.13, no.4, 2012 , pp. 53-62 More about this Journal
Abstract
Object segmentation is a demanding research area and not a trivial problem of image processing and computer vision. Tremendous segmentation algorithms were addressed on gray-scale (or biomedical) images that rely on numerous image features as well as their strategies. These works in practice cannot apply to natural color images because of their negative effects to color values due to the use of gray-scale gradient information. In this paper, we proposed a new approach for color object segmentation by modifying a geometric active contour model named distance regularized level set evolution (DRLSE). Its speed function will be designed to exploit as much as possible color gradient information of images. Finally, we provide experiments to show performance of our method with respect to its accuracy and time efficiency using various color images.
Keywords
Object segmentation; level set; active contour model;
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