A new method for the extraction of region-of-interest based on visual attention
Xiaoguang Shao, Kun Gao, Guoqiang Ni · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2009
Region of interest (ROI) plays an important role in image analysis, yet traditional ROI extraction result may be different from human's subject feeling. In this paper, a new approach based on visual attention is proposed considering that primates have remarkable abilities to interpret complex scenes real-time. This approach uses visual attention model to locate salient points. As a result, the most salient region is selected and marked as ROI. The proposed work is based on bottom-up influences of attention and, therefore, purely unsupervised. Furthermore, experiment results of the ROI extraction mentioned in the paper are given and show perfect performance when comparing with other traditional approaches.