国防科技大学学报2011，Vol.33Issue(6)：111-115,5.
基于相位编组和灰度统计的海天线检测
Sea-sky-line Detection Based on Phase Grouping and Gray Statistics
摘要
Abstract
Aimed at the problem of sea-sky-line detection in complicated sea-sky background image,a novel method,based on phase grouping and gray statistics,Was presented.Firstly,a lot of line segments were obtained by using phase grouping method on edse image.Secondly,the line segments were classified according to two parameters,the slope angle and the distance to image origin.Several classes which have the largest sum of length of the line segments were selected,and edge points in each selected class were used to fit a straight line,thus several candidate sea-sky-lines could be gained.Finally,the correct sea-sky-line could be elected through comparing statistical gray values of the regions which correspond to the SalTle horizontal pixel coordinates and take the points on the candidate sea-sky-lines as center points.Many experimental results show that the proposed method can detect the sea-sky-line under complicated sea-sky background effectively and has strong robustness.关键词
海天线检测/相位编组/灰度统计/鲁棒性Key words
sea-sky-line detection/phase grouping/gray statistics:robustness分类
信息技术与安全科学引用本文复制引用
桂阳,杨夏,朱宪伟,张小虎..基于相位编组和灰度统计的海天线检测[J].国防科技大学学报,2011,33(6):111-115,5.基金项目
国家自然科学基金资助项目(60904084) （60904084）
