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Proceedings Paper

Image segmentation algorithm based on T-junctions cues
Author(s): Yanyu Qian; Fengyun Cao; Lu Wang; Xuejie Yang
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Paper Abstract

To improve the over-segmentation and over-merge phenomenon of single image segmentation algorithm,a novel approach of combing Graph-Based algorithm and T-junctions cues is proposed in this paper. First, a method by L0 gradient minimization is applied to the smoothing of the target image eliminate artifacts caused by noise and texture detail; Then, the initial over-segmentation result of the smoothing image using the graph-based algorithm; Finally, the final results via a region fusion strategy by t-junction cues. Experimental results on a variety of images verify the new approach’s efficiency in eliminating artifacts caused by noise,segmentation accuracy and time complexity has been significantly improved.

Paper Details

Date Published: 8 March 2017
PDF: 7 pages
Proc. SPIE 10255, Selected Papers of the Chinese Society for Optical Engineering Conferences held October and November 2016, 1025502 (8 March 2017); doi: 10.1117/12.2265655
Show Author Affiliations
Yanyu Qian, Hefei Normal Univ. (China)
Fengyun Cao, Hefei Normal Univ. (China)
Lu Wang, Hefei Normal Univ. (China)
Xuejie Yang, Hefei Normal Univ. (China)


Published in SPIE Proceedings Vol. 10255:
Selected Papers of the Chinese Society for Optical Engineering Conferences held October and November 2016
Yueguang Lv; Jialing Le; Hesheng Chen; Jianyu Wang; Jianda Shao, Editor(s)

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