A Computational Model of Object-Based Attentionusing Multi-scale Analysis and Grouping
Yu Zheng · Dianzi xuebao · 2006
Recent biological experiments have presented increasing evidence for object-based attention.We propose a computational model of object-based attention to simulate biological perception.Two techniques are employed:multi-scale analysis and grouping.Differential geometry descriptor in multi-scale analysis extracted important edges from source images and subsequent contour grouping process organized the edge image into perceptual objects.The later process originated from Gestalt laws.Then focus of attention shifted among objects in order of conspicuousness,which was measured by edge saliency,region contrast and topological property of closure.The proposed model exhibits several advantages.It considers integrality of objects and thus gains higher searching accuracy than space-based attention.It uses multi-scale analysis to select candidates and thus improves efficiency of contour grouping.Experiments on different types of images show high efficiency and biological plausibility of our model.