Visual saliency detection in colour images based on density estimation
| Affiliation auteurs | !!!! Error affiliation !!!! |
| Titre | Visual saliency detection in colour images based on density estimation |
| Type de publication | Journal Article |
| Year of Publication | 2017 |
| Auteurs | Sidibe D., Meriaudeau F. |
| Journal | ELECTRONICS LETTERS |
| Volume | 53 |
| Pagination | 24+ |
| Date Published | JAN 5 |
| Type of Article | Article |
| ISSN | 0013-5194 |
| Mots-clés | colour distribution, colour images, Density estimation, distinct geometric patterns, Gaussian density, Gaussian processes, image colour analysis, image texture, local image patches, local salient regions, object detection, public datasets, statistical analysis, statistical distance, texture patterns, visual saliency detection |
| Résumé | 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. |
| DOI | 10.1049/el.2016.2156 |