Image Saliency Detection Algorithm Based on Super Pixels Partition
Wenwen Pan, Xiaofei Sun, Xia Wang, Tao Xu, Lina Gong · 2016
This paper proposes an image saliency detection algorithm based on super pixels partition.The algorithm first uses the simple linear iterative clustering method to divide the image into multiple super pixels, and then according to the rules of global saliency to calculate the saliency level of each super pixel, finally the saliency map of the whole image is obtained.Experimental results show that the proposed approach can extract saliency map from the image of different size with different types of salient object, and the effect is better.