A Novel Saliency Map Extraction Method Based on Improved Ittis Model
To obtain a saliency map close to the saliency object as much as possible, an improved bottom-up visual attention model is presented. Firstly, early visual features such as intensity, color and orientation are extracted from an input image at multiple scales; Secondly, three conspicuity maps are created respectively according to early features; Thirdly, three conspicuity maps are combined into a saliency map nonlinearly. In the last step, different from Ittis model, the contribution rate of each conspicuity map to the saliency map is done in inversely proportional to the saliency points area. A set of experiments were carried out to demonstrate the effectiveness of the proposed model. The experimental results show that the algorithm is effective and saliency map accuracy increased by 1520％ compared to Ittis model.
saliency map Ittis model visual feature
Dongjian He Yongmei Zhang Huaibo Song
College of Mechanical and Electronic Engineering Northwest A&F University YangLing,ShaanXi 712100,Ch College of Information Engineering Northwest A&F University YangLing,ShaanXi 712100,China College of Mechanical and Electronic Engineering Northwest A&F University YangLing,ShaanXi 712J00,Ch
国际会议
成都
英文
323-327
2010-06-12（万方平台首次上网日期，不代表论文的发表时间）