%0 Journal Article
%T INTERACTIVE SEGMENTATION OF MEDICAL IMAGES USING GRABCUT
%A RAVINDRA S. HEGADI
%A BASAVARAJ A GOUDANNAVAR
%J International Journal of Machine Intelligence
%D 2011
%I Bioinfo Publications
%X Medical images do not contain sharp edges. Therefore segmentation of these images is a challenging. In this paper we propose the algorithm for interactive segmentation of endoscopic images using extension of original graph-cut method. In this work a more powerful, iterative version of the optimization is used; the power of the iterative algorithm is used to simplify substantially the user interaction and a robust algorithm for "border matting" has been developed to estimate simultaneously the alpha-matte around an object boundary and the colors of foreground pixels. This method is expected to be successful on a wide variety of images with foreground objects. The proposed algorithm is tested on endoscopic images containing tumors. The results of the proposed algorithm are encouraging.
%K Endoscopy
%K interactive image segmentation
%K foreground extraction
%K Convergence of iterative minimization
%K Gaussian Mixture Model labeling
%K image editing.
%U http://www.bioinfo.in/uploadfiles/13252469603_3_19_IJMI%20.pdf