Title :
Image segmentation based on modified graph-cut algorithm
Author :
Le, Trung ; Jung, Seung-Won ; Choi, Kwang-Seong ; Ko, Sung-Jea
Author_Institution :
Dept. of Electr. Eng., Korea Univ., Seoul, South Korea
Abstract :
The regularising parameter of the energy function in the graph-cut based image segmentation methods should be carefully determined since it strongly affects the image segmentation result. Presented is a modified graph-cut technique using a novel energy function without the regularising parameter for image segmentation. In addition, a mixture colour model is employed to apply the proposed technique to colour image segmentation effectively. Experimental results show that the proposed method outperforms the conventional graph-cut algorithm in terms of segmentation accuracy and ease of use.
Keywords :
graph theory; image colour analysis; image segmentation; colour image segmentation; energy function; graph-cut based image segmentation methods; graph-cut technique; mixture colour model; modified graph-cut algorithm; regularising parameter; segmentation accuracy;
Journal_Title :
Electronics Letters
DOI :
10.1049/el.2010.1692