A model of visual attention for locating region of interest in large background
Guohui Li · 2011 International Conference on Computational Problem-Solving (ICCP) · 2011
A computational model of visual attention was developed for regions of small defects in a large background for inspection of surface quality in the line, simulating human visual attention mechanism. Firstly global features were extracted from an input image by Law's rules. Secondly Local features were extracted and evaluated through Itti's method and inspection requirements. Then the local features were fused a saliency map by a new fusion operator which are not the same with Itti model. Finally the region of interest is “pop-out” in the map. Experimental results show that the model can locate the region of interest, and remove the most background regions.