微型机与应用2017，Vol.36Issue(10)：44-47,4.DOI:10.19358/j.issn.1674-7720.2017.10.013
低空航拍视频中基于Vibe算法的船舶检测方法
Ship detection method in low aerial video based on Vibe
摘要
Abstract
Ship detection in low-altitude aerial video universally has not ideal performance due to background disturbances and ripples.In response to the issues, a new method is proposed based on improved Vibe (Visual background extractor).This saliency-mixture of improved Canny operator consists of smoothing and adaptive thresholding strategy to realize comparatively higher accuracy of ship contour extraction.Morphological mechanisms of the four-way structural elements reduce interference caused by ripples in target recognition.Internal cavity in ships model is filled though seed filling algorithm, finally, ship contours are identified precisely according to the outline of its characteristic.The experimental results demonstrate that the proposed method is significantly superior to the traditional method, and its feasibility and practicality have been proved.关键词
船舶检测/Vibe算法/Canny算子/种子填充法Key words
ship detection/Vibe algorithm/Canny operator/seed filling algorithm分类
信息技术与安全科学引用本文复制引用
蒋晶晶,安博文..低空航拍视频中基于Vibe算法的船舶检测方法[J].微型机与应用,2017,36(10):44-47,4.基金项目
国家自然科学基金(61171126) （61171126）
