Open AccessVisual saliency detection in colour images based on density estimation
Author(s) -
Sidibé D.,
Mériaudeau F.
Publication year - 2017
Publication title -
electronics letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.375
H-Index - 146
ISSN - 1350-911X
DOI - 10.1049/el.2016.2156
Subject(s) - artificial intelligence , salient , computer vision , pattern recognition (psychology) , computer science , density estimation , texture (cosmology) , gaussian , image (mathematics) , mathematics , statistics , physics , quantum mechanics , estimator
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 texture patterns from neighbouring regions. The colour distribution of local image patches is modelled 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 the method.