国防科技大学学报2017，Vol.39Issue(6)：31-38,8.DOI:10.11887/j.cn.201706006
结合像素局部对比度的直线特征检测算法
Linear feature detection algorithm combined with pixel local contrast
摘要
Abstract
Robust and efficient line extraction algorithm has been widely used in space photogrammetry field such as target pose detection,tracking and skeleton reconstruction.A line segment detector based on local contrast of pixels and global false detection control was proposed.The method consists of four steps.Firstly,the gradient and local contrast of each pixel was calculated.Secondly,the pixels with similar orientations were clustered into the line support region which was approximated by a rectangle.After that the line support region was fitted into a line segment with the above one pixel width and the line parameters were estimated.Finally,the line segment candidates were validated and the false detection was controlled.The experimental results show that the proposed method is much more robust and efficient than the traditional methods in hash conditions,especially in complex illumination.关键词
直线检测/局部对比度/虚警抑制Key words
line detect/local contrast/false detection control分类
信息技术与安全科学引用本文复制引用
孙俊锋,丁少闻,张小虎,张跃强..结合像素局部对比度的直线特征检测算法[J].国防科技大学学报,2017,39(6):31-38,8.基金项目
国家自然科学基金资助项目(11272347) （11272347）
