Abstract : A simple and effective method for visual saliency detection in colour images is presented. The method is based on the common observation that local salient regions exhibit distinct geometric and and texture patterns from neighbouring regions. We model the colour distribution of local image patches with a Gaussian density and measure the saliency of each patch as the statistical distance from that density. Experimental results with public datasets and comparison with other state-of-the-art methods show the effectiveness of our method.
https://hal-univ-bourgogne.archives-ouvertes.fr/hal-01426990
Contributeur : Désiré Sidibé
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Soumis le : jeudi 5 janvier 2017 - 11:07:38
Dernière modification le : mercredi 12 septembre 2018 - 01:27:48
Document(s) archivé(s) le : jeudi 6 avril 2017 - 12:33:27
Désiré Sidibé, F Mériaudeau. Visual saliency detection in colour images based on density estimation. Electronics Letters, IET, 2017, 53, pp.24 - 25. ⟨10.1049/el.2016.2156⟩. ⟨hal-01426990⟩
