Image segmentation algorithm based on T-junctions cues

Yanyu Qian; Fengyun Cao; Lu Wang; Xuejie Yang

doi:10.1117/12.2265655

8 March 2017 Image segmentation algorithm based on T-junctions cues

Yanyu Qian, Fengyun Cao, Lu Wang, Xuejie Yang

Proceedings Volume 10255, Selected Papers of the Chinese Society for Optical Engineering Conferences held October and November 2016; 1025502 (2017) https://doi.org/10.1117/12.2265655
Event: Selected Papers of the Chinese Society for Optical Engineering Conferences held October and November 2016, 2016, Jinhua, Suzhou, Chengdu, Xi'an, Wuxi, China

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.

Citation Download Citation

Yanyu Qian, Fengyun Cao, Lu Wang, and Xuejie Yang "Image segmentation algorithm based on T-junctions cues", Proc. SPIE 10255, Selected Papers of the Chinese Society for Optical Engineering Conferences held October and November 2016, 1025502 (8 March 2017); https://doi.org/10.1117/12.2265655

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