计算机应用与软件Issue(2)：153-155,211,4.DOI:10.3969/j.issn.1000-386x.2016.02.037
基于显著性和区域比较的自动物体提取算法
AUTOMATIC OBJECT EXTRACTION ALGORITHM BASED ON SALIENCE AND REGIONAL CONTRAST
摘要
Abstract
Facing the massive image data in internet era,how to automatically extract the object from images becomes a hot issue. Therefore this paper proposes a novel algorithm of automatic target extraction,it combines the superpixel,salience and region contrast.First, the algorithm makes superpixel segmentation on images to get several sub-regions.Then,it uses saliency detection to determine the initial target region.At last,based on sub-regions and initial regions,it combines spatial information and colour feature and uses region comparison method to segment the final target object.Result of the contrast experiment shows that this method can extract the object effectively and has certain robustness.关键词
显著性/超像素/区域比较/物体提取Key words
Salience/Superpixel/Region comparison/Object extraction分类
信息技术与安全科学引用本文复制引用
刘兆瑞,赵波,王广伟..基于显著性和区域比较的自动物体提取算法[J].计算机应用与软件,2016,(2):153-155,211,4.基金项目
国家自然科学基金项目（61373121）；四川省科技创新苗子工程项目（2012ZZ053）。 （）
