计算机应用与软件2017，Vol.34Issue(9)：294-298,327,6.DOI:10.3969/j.issn.1000-386x.2017.09.057
基于马尔可夫模型优化的非经典感受野轮廓检测算法
CONTOUR DETECTION ALGORITHM BASED ON MARKOV MODEL OPTIMIZED NON-CLASSICAL RECEPTIVE FIELD
摘要
Abstract
We present a new algorithm based on isotropic inhibition effect of non-classical receptive field.First,the proposed algorithm introduced multilevel surround suppression into isotropic detection method.Secondly,an improved combination method based on set theory and the idea of edge growth control was proposed,which had solved the influence of the suppression parameter on contour detection.Finally,according to the theory of Markov random field,we established contour probability model,and got the output contour.The experimental results show that the new algorithm has high precision and is superior to the traditional method.关键词
轮廓检测/非经典感受野/马尔可夫随机场/多级周边抑制Key words
Contour detection/Non-classical receptive field/Markov random field theory/Multilevel surround inhibition分类
信息技术与安全科学引用本文复制引用
胡玉兰,刘阳..基于马尔可夫模型优化的非经典感受野轮廓检测算法[J].计算机应用与软件,2017,34(9):294-298,327,6.基金项目
国家自然科学基金项目(61373089). （61373089）
