We propose a multi-layer graph based approach for salient object detection in natural images. Starting from a set of multi-scale image decomposition using superpixels, we propose an objective function optimized on a multi-layer graph structure to diffuse saliency from image borders to salient objects. After isolating the object kernel, we enhance the accuracy of our saliency maps through an objectness-like based refinement approach. Beside its simplicity, our algorithm yields very accurate salient objects with clear boundaries. Experiments have shown that our approach outperforms several recent methods dealing with salient object detection.
CITATION STYLE
Filali, I., Allili, M. S., & Benblidia, N. (2016). Multi-graph based salient object detection. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9730, pp. 318–324). Springer Verlag. https://doi.org/10.1007/978-3-319-41501-7_36
Mendeley helps you to discover research relevant for your work.