摘要
鉴于传统的高斯-拉普拉斯(LOG)算子具有各向同性的特点,在很多有方向性差异的场合中并不适用,提出了基于LOG算子的各向异性算子,该算子具有方向敏感性,能够对与其长轴方向重合的边缘起到加强的作用,同时,利用该算子设计了自适应算法来模拟人眼注视机制的工作过程,并将算法实验结果与LOG算法的结果进行了比较.该算子和方法较好地解决了方向性模板对视觉解释的不完善问题.
Because of its isotropy, traditional Laplacian of Gaussian （LOG） operator is not used in many occasions. The LOG operator with anisotropy is presented, which is sensitive to multi-direction and can intensify the edges that has same direction as the major axis. An adaptive algorithm was designed to simulate the process of the human visiual system （HVS） concentration, and the results be tween the isotropy and anisotropy LOG operator are presented. The algorithm not only gives a rational and better explanation of the HVS ,but also makes the traditional edge detection theory with I.OG operator more perfect.
出处
《华中科技大学学报（自然科学版）》
EI
CAS
CSCD
北大核心
2008年第3期85-87,102,共4页
Journal of Huazhong University of Science and Technology(Natural Science Edition)
基金
航天支撑技术基金资助项目
