Image Cell Based Saliency Detection via Color Contrast and Distribution
Tang Yon · Acta Automatica Sinica · 2013
According to biological visual attention mechanism, a salient region detection method is proposed in this paper, which is based on image cell contrast and space statistical characteristics. By constructing image cell structure with an adaptive image segmentation, based on image cell, it makes a salient region detection using both the color contrast model and space statistical characteristics model. In the end, two models detection results combine by Gaussian model to get the final salient region detection results. Experiments show that this detection method has a higher precision and recall rate, which can not only resist the complex texture and the noise but also remove the influence of the complex background.