基于Beamlet变换的结构光焊缝图像线性特征提取  

Abstraction of line segment characteristic from structured light image of weld seam based on Beamlet transform

作　　者：黄军芬[1] 黄继强[1] 黄民双[1] 邓双成[1] 

机构地区：[1]北京石油化工学院光机电装备技术重点实验室,北京102617

出　　处：《焊接学报》2009年第5期89-92,共4页Transactions of The China Welding Institution

基　　金：北京市教育委员会科技发展计划面上项目(KM200810017006);北京市自然科学基金资助项目(4073032);北京石油化工学院青年科研基金资助项目(N06-04);北京石油化工学院光机电装备技术北京市重点实验室开放课题基金资助项目(KF2007-10)

摘　　要：鉴于以结构光为主动光源的焊缝跟踪方法可用于识别不同坡口形式的焊缝位置信息,对结构光焊缝图像进行了分析.为有效提取图像中结构光线性特征以确定焊缝位置,引入了束波变换.阐述了束波变换原理,开发了基于多尺度束波变换的结构光焊缝图像线性特征提取算法.做基于最大Beamlet统计的检验,对结构光焊缝图像进行小尺度束波变换以确定结构光线的大致位置,缩小搜索范围;然后对图像进行大尺度束波变换确定焊缝部分结构光线的线性特征,根据线段斜率变化可确定焊缝位置.采用该算法确定一幅结构光焊缝图像的焊缝位置的时间为260 ms.Analysis on the structured light image of weld seam was carried out since the welding seam tracking method with the structured light as an active lighting can be used to recognize the position of the weld seam with different groove shapes.The Beamlet transform was introduced to detect the line segment characteristic of the structured light in the image to identify the position of the weld seam effectively.The theory of Beamlet transform was introduced,and a line segment characteristic detection algorithm was developed for the structured light image of weld seam based on multiscale Beamlet transform.Test based on the maximal Beamlet statistics was carried out,Beamlet transform at a small scale to the structured light image of weld seam was done to identify the rough position of the structured light and reduce the searching range,and Beamlet transform at a large scale was done to identify the line segment characteristic of the structured light on the weld seam,then the weld seam position can be detected according to the slope variety of the line segments.The time to detect the position of the weld seam in a structured light image of weld seam is 260 ms by the algorithm.

关 键 词：束波变换 线性特征 结构光焊缝图像 

分 类 号：TG115.28[金属学及工艺—物理冶金]