利用图像的时间熵复杂性来寻找图像视觉显著性的区域-The time of image complexity to find the image entropy of significant areas of visual

新的自下而上的视dmits combination with other maps. The model is simple, and biologically plausible insofar as it is naturally parallelized. This model powerfully predicts human xations on 749 variations of 108 natural images, achieving 98% of the ROC area

gbvs_nips 基于图的显著性。Graph-Based visual saliency。是发表在2006年NIPS上的论文。(A new bottom-up visual saliency model, Graph-Based visual saliency (GBVS), is proposed. It consists of two steps: first forming activation maps on certain feature channels, and then nor

非常棒的 图像显著性检测matlab程序 可以下载试试 基于视觉 图像的显著检测(Excellent image saliency detection matlab program can be downloaded to try visual inspection based on visual images.)