Unified Saliency Detection Model Using Color and Texture Features.

ABSTRACT: Saliency detection attracted attention of many researchers and had become a very active area of research. Recently, many saliency detection models have been proposed and achieved excellent performance in various fields. However, most of these models only consider low-level features. This paper proposes a novel saliency detection model using both color and texture features and incorporating higher-level priors. The SLIC superpixel algorithm is applied to form an over-segmentation of the image. Color saliency map and texture saliency map are calculated based on the region contrast method and adaptive weight. Higher-level priors including location prior and color prior are incorporated into the model to achieve a better performance and full resolution saliency map is obtained by using the up-

SUBMITTER: Zhang L 

PROVIDER: S-EPMC4758633 | biostudies-literature | 2016

REPOSITORIES: biostudies-literature