Shadow detection combining characters of human vision
来源期刊：中南大学学报(英文版)2014年第2期
论文作者：LI Jian–feng(李建锋) ZOU Bei-ji(邹北骥) LI Ling-zhi(李玲芝) GAO Huan-zhi(高焕芝)
文章页码：659 - 667
Key words：pulse couple neural network; lateral inhibition; shadow detection; coefficient of variation; weight matrix; human vision system
Abstract: A shadow detection method using pulse couple neural network inspired by the characters of human visual system is proposed. More precisely, lateral inhibition of human vision and coefficient of variation are combined together to improve the pulse couple neural network. Shadow detection is considered to be a shadow region segmentation problem. Experiment shows that the presented method is consistent with human vision compared to shadow detection methods based on HSV and pulse couple neural network (PCNN) by both subjective and objective assessments.
LI Jian–feng(李建锋)1, 2, ZOU Bei-ji(邹北骥)1, LI Ling-zhi(李玲芝)1, GAO Huan-zhi(高焕芝)1
(1. School of Information Science and Engineering, Central South University, Changsha 410073, China;
2. School of Information Science and Engineering, Jishou University, Jishou 416000, China)
Abstract:A shadow detection method using pulse couple neural network inspired by the characters of human visual system is proposed. More precisely, lateral inhibition of human vision and coefficient of variation are combined together to improve the pulse couple neural network. Shadow detection is considered to be a shadow region segmentation problem. Experiment shows that the presented method is consistent with human vision compared to shadow detection methods based on HSV and pulse couple neural network (PCNN) by both subjective and objective assessments.
Key words:pulse couple neural network; lateral inhibition; shadow detection; coefficient of variation; weight matrix; human vision system
