计算机工程与应用2017，Vol.53Issue(7)：186-191,6.DOI:10.3778/j.issn.1002-8331.1509-0254
基于Stentiford视觉模型的改进
Improvement of Stentifeld visual model algorithm
摘要
Abstract
The extraction method of image region of interest based on visual model possesses a distinctive superiority in extracting image region of interest area. Firstly, it fits human eye's visual effect, so its outcome can express the visual's real intention accurately in a large extent. Next, its procedure is more likely to achieve and its processing efficiency is much higher. The visual model based on Stentifold has become one of the presentations for its simple method and obvious effect. But it is also accompanied with the shortcomings that the results are random, too sensitive to details and the time-consuming in calculating. For this reason, this papeer first attempts to adopt the method of combining histogram and uni-form LBP, and make improvement of this method which finally achieves an ideal effect.关键词
Stentifold模型/直方图统计/均匀局部二值模式Key words
Stentifold model/histogram statistics/uniform LBP分类
信息技术与安全科学引用本文复制引用
范向阳,王诚..基于Stentiford视觉模型的改进[J].计算机工程与应用,2017,53(7):186-191,6.基金项目
国家自然科学基金(No.61071167). （No.61071167）
