摘要
基于视觉模型的图像感兴趣区提取方法,在图像感兴趣区域提取领域,有着得天独厚的优势:首先,它贴合人眼视觉效果,因此可以较为准确地表示视觉的真实"意图";其次,方法过程便于实现,处理效率比较高。基于Stentifold视觉模型的方法因其实现简单且效果显著而成为其中的众多代表之一,但其也存在结果随机性过大,对细节过于敏感,计算耗时的缺点。为此,尝试通过直方图统计、均匀局部二值模式(uniform LBP)结合的方法,对其进行改进,并取得了理想的效果。
The extraction method of image region of interest based on visual model possesses a distinctive superiority inextracting image region of interest area.Firstly,it fits human eye’s visual effect,so its outcome can express the visual’sreal intention accurately in a large extent.Next,its procedure is more likely to achieve and its processing efficiency ismuch higher.The visual model based on Stentifold has become one of the presentations for its simple method and obviouseffect.But it is also accompanied with the shortcomings that the results are random,too sensitive to details and the timeconsumingin calculating.For this reason,this papeer first attempts to adopt the method of combining histogram and uniformLBP,and make improvement of this method which finally achieves an ideal effect.
作者
范向阳
王诚
FAN Xiangyang;WANG Cheng(College of Telecommunications and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing 210003, China)
出处
《计算机工程与应用》
CSCD
北大核心
2017年第7期186-191,共6页
Computer Engineering and Applications
基金
国家自然科学基金(No.61071167)
