Research Article
Improved Graph-Based Image Segmentation Based on Mean Shift
@INPROCEEDINGS{10.1109/ChinaCom.2013.6694680, author={Jian-wen Mo and Chao-xuan Wang and Tong Zhang and Hua Yuan}, title={Improved Graph-Based Image Segmentation Based on Mean Shift}, proceedings={8th International Conference on Communications and Networking in China}, publisher={IEEE}, proceedings_a={CHINACOM}, year={2013}, month={11}, keywords={image segmentation; mean shift; l*a*b* color space}, doi={10.1109/ChinaCom.2013.6694680} }- Jian-wen Mo
Chao-xuan Wang
Tong Zhang
Hua Yuan
Year: 2013
Improved Graph-Based Image Segmentation Based on Mean Shift
CHINACOM
IEEE
DOI: 10.1109/ChinaCom.2013.6694680
Abstract
According to the problem of over-segmentation using graph-based image segmentation(GBIS), combined with Mean Shift, the paper proposed an improved graph-based image segmentation algorithm(IGBIS) using Lab* color space. Firstly, the source image was smoothed by mean shift; Second, the mean shift image was converted from RGB color space to Lab* color space; Then, the weight function in GBIS method was improved by a constant S that we introduced to control the color difference degree; Finally, two kinds of Algorithm evaluation method (GCE and VOI) were used to evaluate the improved method. The experiment results show that the improved method depressed over-segmentation, received better segmentation results.
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