Saliency detection based on BP-neural Network
Pan Duan, Bei Hu, Haiying Sun, Qichang Duan · 2016
Saliency detection has a significant influence on improving image analysis and processing techniques. We propose a novel saliency detection method based on BP-neural Network in this paper. First, we need to segment images into superpixels by the SLIC approach. Secondly, from these superpixels, we extract 10-dimensional feature to describe a superpixel. Finally, we use BP-neural Network to learn the relationship between 10-dimensional feature value and saliency. We show the results that our proposed method outperform the several state-of-the-art methods on MSRA1000 public database.