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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