河北科技大学学报2012，Vol.33Issue(2)：146-149,189,5.
视觉测量中基元特征亚像素提取方法的研究
Extraction of feature primitives of computer vision
摘要
Abstract
Beeline and ellipse are the important elements in computer vision measurement. A spatial moment operator with three gray model is proposed. Firstly,the edge at the level of pixel is located by the Laplacian of gaussian operator,and subpixel location of the edge is obtained by the spatial moment. Then,the beeline and ellipse edge pixel pionts are extracted by the Hough transform at the level of subpixel. Finally,the subpixel beeline and ellipse edge is extracted by the least square curve fitting method. The experimental results show that spatial moment subpixel edge location and the extraction of beeline and ellipse on image plane possess high precision and high stability.关键词
边缘检测/直线提取/椭圆提取/空间灰度矩/Hough变换/最小二乘法Key words
edge detection/beeline extraction/ellipse extraction/spatial moment/Hough transform/least square fitting分类
信息技术与安全科学引用本文复制引用
李保章,崔彦平,李荣廷..视觉测量中基元特征亚像素提取方法的研究[J].河北科技大学学报,2012,33(2):146-149,189,5.基金项目
国家自然科学基金资助项目(51075119,11002046) （51075119,11002046）
河北省自然科学基金资助项目(E2010000868) （E2010000868）
河北省科学技术研究与发展计划项目(10212111D) （10212111D）
