Salient Object Detection Based on Image Contrast
Qian Zou · Guangdian gongcheng · 2014
In order to detect all kinds of salient object in natural scene,we present a method which combined image global contrast and local contrast information.Firstly,use global and local contrast detector to get the global and local contrast saliency map.Then,make border cut and morphological dilation on local contrast saliency map.Finally,combine global and local contrast saliency map and make center bias to get final saliency map.We provide quantitative evaluation which shows the proposed method outperforms many other state-of-art methods.