Regions of Interest Extraction Based on Visual Attention Mechanism
Zhu Shan-na · Coal Technology · 2012
In view of exactly acquiring objects of natural images,the way of extracting regions of interest based on vision attention mechanism and k-means clustering was presented.After multi-scale Gaussian pyramids transform,multi-feature maps were combined into a saliency map.The natural image was segmented image regions with the k-means clustering algorithm.Combining with the saliency map,regions of interest was extracted.The experimental results show that the proposed method is closer to the process of human visual attention and demonstrate its effectiveness and robustness.