计算机工程与应用Issue(9)：150-154,5.DOI:10.3778/j.issn.1002-8331.1205-0222
基于多特征融合的图像主体显著性判断
Image object visual saliency judgment based on multi-feature combina-tion
摘要
Abstract
The visual prominent image refers to the image which has a salient object. Compared with those images that have messy contents, such images usually attract users’more attention and conform to more needs of users when they retrieve images. A method which is used to classify image object visual saliency is proposed. It builds an object visual saliency classifier model by support vector machine on the basis of“center-ground”computational principle and multi-feature com-bination. Also, the score describing the degree of saliency of the image can be given by this model. Experimental results demonstrate that the model has higher classifier accuracy and is closer to manual operation results on web image applica-tions, such as resorting in image retrieval, automatic audit images uploaded.关键词
视觉主体显著性/“中心围绕”操作/局部二值模式/视觉显著图/支持向量机Key words
visual object saliency/“center-ground”operation/Local Binary Pattern(LBP)/visual saliency map/Support Vector Machine(SVM)分类
信息技术与安全科学引用本文复制引用
刘晨曦,褚晶辉,吕卫,王建..基于多特征融合的图像主体显著性判断[J].计算机工程与应用,2014,(9):150-154,5.基金项目
国家自然科学基金（No.61002030）。 （）
