Hierarchical Saliency Detection Under Foggy Weather Fusing Spectral Residual and Phase Spectrum

摘要：

　　It brings great difficulty for salient object detection on the road under foggy weather,owing to the low contrast and the low resolution of fog-degraded image.The traditional methods of saliency detection such as spectral residual approach and phase spectrum approach are out of work.According to this problem,a new hierarchical saliency detection approach based on transmission information of foggy images is proposed,which fuses the spectral residual and phase spectrum under transmission information with a new weighted fusing approach.The experiments show that the proposed method can detect salient object such as pedestrians and vehicles on the road more effectively than independent spectral residual and phase spectrum approach,even under heavy fog condition.

关键词： Saliency detection Transmission estimation Spectral residual Phase spectrum

作者: Kun Liu Jia Tian Xiu-ping Su Yu-qiang Zhou Jie Wang

作者单位: School of Control Science and Engineering,Hebei University of Technology,Tianjin 300130,China

会议类型: 国际会议

会议名称: 第七届全国模式识别学术会议(The 7th Chinese Conference on Pattern Recognition,CCPR2016)

会议地点: 成都

会议语种:英文

页码: 191-201

在线出版日期: 2016-11-03（万方平台首次上网日期，不代表论文的发表时间）