Abstract：In the task-relevant visual attention

the saliency map based on task is required to be built to direct the visual attention. The synergetic perception theory which is similar to the cognition of the human is utilized to research the computational model of task-relevant visual attention. Firstly

the perception of ambiguous model is researched through the synergetic recognition theory. The synergetic visual perception theory is available. The patterns in the synergetic visual perception are corresponding to the visual features in the visual attention model. Then

the bias between the visual features influenced by the task is computed by the property of the bias matrix. The task-relevant visual attention saliency map is built from the bias and the visual features. Finally

a computational model of visual selective attention based on synergetic perception is presented. The algorithm is applied to the visual search task. The validity and the rationality in cognition of the algorithm are demonstrated through the experiments.