Center-focus Global Contrast Saliency Detection

Saliency detection has a great significance in improving image analysis and processing techniques. In this paper, we propose a center-focus global contrast saliency detection method. First, we achieve the weight of focus-center feature map from frequency domain and get the salient center by weighted coordinates; Secondly we calculate the Euclidean distance between the image of each pixel and the saliency center for generating the focus-center feature map; Then the image is segmented by SLIC, and taking segments as a unit build the color global contrast feature map; Finally three feature maps are normalized and integrated as the saliency map. The saliency detection method proposed in this paper compare with 7 saliency detection methods by the public database Achtana1000 [12] and our method have higher precision and recall than others.