Salient Region Detection by Region Color Contrast and Connectivity Prior

The visual salient regions detection is one of the fundamental problems in computer vision, so saliency estimation has become a valuable tool in image processing. In this paper, we propose a novel method to realize the calculation of saliency, using color contrast and connectivity prior (called CCP for short). There are three cues integrated to obtain high-quality map, including contrast, spatial distribution and high-level prior. We evaluate our approach on three standard benchmark datasets with other state-of-the-art approaches, the results show that the proposed method has the higher precision and recall, the final maps are more closed to the ground truth.