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Automatic Salient Object Segmentation via Shape Prior Based Active Contour Model
Innovative Computing Information and Control Express Letters, Part B: Applications
In this paper, we propose a novel model for unsupervised segmentation of viewer's attention object from natural images based on localizing region-based active contour (LRAC). Firstly, we proposed the saliency detection model via the multi-scale superpixel. Then, object-level shape prior is extracted combining saliency with object boundary information. Finally, this contour is improved by the edge-preserving to generate the initial contour for our automatic object segmentation system. Indoi:10.24507/icicelb.07.11.2491 fatcat:patbk3pn7bfoxeipssln67x2d4