自动化学报2013，Vol.39Issue(8)：1214-1224,11.DOI:10.3724/SP.J.1004.2013.01214
基于Local特征和Regional特征的图像显著性检测
Image Saliency Detection Based on Local and Regional Features
摘要
Abstract
This paper proposes a model of salient region detection based on local and regional features in color space.Firstly,the image is divided into 8 × 8 sub-blocks,in each sub-block,then the multi-scale local and regional features are calculated and combined by weighted summation as the sub-block's salient value; secondly,the salient edge is calculated by the color contrast of the four color channels; finally,the salient map can be extracted by combining the salient features and salient edge together.The experiment results show that our model can extract salient objects in images fast and exactly.关键词
显著性检测/Local特征/Regional特征/多尺度Key words
Saliency detection/local feature/regional feature/multi-scale引用本文复制引用
郭迎春,袁浩杰,吴鹏..基于Local特征和Regional特征的图像显著性检测[J].自动化学报,2013,39(8):1214-1224,11.基金项目
国家自然科学基金(60302018),河北省科技支撑计划项目(11213518D)资助 （60302018）
Supported by National Natural Science Foundation of China (60302018) and Hebei Science and Technology Support Program (11213518D) （60302018）
