Image segmentation algorithm based on T-junctions cues

Yanyu Qian; Fengyun Cao; Lu Wang; Xuejie Yang

doi:10.1117/12.2265655

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

Yanyu Qian, Fengyun Cao, Lu Wang, Xuejie Yang

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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.

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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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