交通信息与安全2017，Vol.35Issue(2)：30-34,5.DOI:10.3963/j.issn.1674-4861.2017.02.005
基于SuBSENSE的内河船舶检测波纹干扰抑制算法
An Algorithm for Ripple Suppression of Inland Ship Detection Based on SuBSENSE
摘要
Abstract
SuBSENSE is a universal detection algorithm for moving objects which combines color and texture features.The background model can adapt to a variety of inland environments and achieve parameter optimization through its adaptive feedback mechanism.However, the ripples cannot be removed when directly detecting inland ships by SubSENSE.Aiming at solving this problem, a novel algorithm combining SuBSENSE and a method for detecting significant regions based on global contrast is proposed.There is a fact that the saliency values of ships and ripples are typically different, ships and ripples are separated in binary saliency image.Logical bitwise AND is performed between the binary saliency image and the SuBSENSE detection image to get final results.The method has shown excellent results in simulations, with a 14.6% margin over the original SuBSENSE performance.关键词
水路运输/船舶检测/波纹抑制/SuBSENSE/显著值Key words
waterway transportation/ship detection/ripple suppression/SuBSENSE/salient region detection分类
信息技术与安全科学引用本文复制引用
李静,刘清,颜为朗..基于SuBSENSE的内河船舶检测波纹干扰抑制算法[J].交通信息与安全,2017,35(2):30-34,5.基金项目
国家自然科学基金项目(51279152)、武汉理工大学自主创新研究基金项目(155211005)资助 （51279152）
