To simulate the visual search result of human, a new bottom-up visual attention model was proposed based on the graph theory. In textual model, the procession of getting salience map consisted of two steps. The first step constracted the markovian marix.The second one accounted the degree of every vertex in graph, which highlighted the salient area of maps on certain feature channel including colors, intensity and orientations. Experimental results showed that this model is more effective for target detection and has less calculating works than some others visual attention models.
