WSEAS Transactions on Computers
Print ISSN: 1109-2750, E-ISSN: 2224-2872
Volume 12, 2013
Saliency Detection Based on Path Price and Fuzzy Reasoning
Authors: ,
Abstract: Saliency detection is essential for many vision tasks and has become a very active topic in compute vision. Although various computational models have been developed especially these contrast based, there still exist some limitations such as: can’t uniformly highlight whole salient regions; usually falsely marking background as salient regions. Aim to solve these, a novel saliency detection method based on path price and fuzzy reasoning rule was proposed in this paper. In detail, we tackle the saliency detection from a different viewpoint: we measure four path prices instead of contrast. Finally, we introduce two fuzzy reasoning rules to capture the properties of these four path prices. Final saliency map is computed by averaging these two fuzzy truth values. Evaluation on two databases validates that the proposed method achieves superior results both on precision recall curve and visual quality.
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Keywords: Saliency detection, Path price, Fuzzy reasoning, Saliency map, Fuzzy rule, Fuzzy truth value