首页> 外文会议>Conference on machine vision applications in industrial inspection >Determination of speckle fringe orientation map by image sequence and removing the speckle noise from speckle fringe patterns
【24h】

Determination of speckle fringe orientation map by image sequence and removing the speckle noise from speckle fringe patterns

机译:通过图像序列确定斑点边缘定向图,从散斑边缘图案中取出斑点噪声

获取原文

摘要

Removing speckle noise in electronic speckle pattern interferometry (ESPI) from a single speckle fringe pattern while keeping the fringe features is a difficult problem. The spin filtering with curved surface windows proposed by the authors is successful to filter out speckle noise nearly completely from a single speckle fringe pattern. However the new filtering has a difficulty to be overcome that the speckle fringe orientation map (SFOM) depends on the processing window size which is tryout and is difficult to be derived correctly when the speckle fringe density changes considerably. In this paper we utilize the original speckle pattern sequence with one-beam setup to determine the speckle movement direction field by digital correlation methods so that the SFOM is determined from the direction field. In this way the SFOM can be derived regardless of fringe density.
机译:从单个散斑条纹图案中去除电子散斑图案干涉测量(ESPI)的散斑噪声,同时保持边缘特征是一个难题。作者提出的弯曲表面窗口的旋转过滤成功地从单个散斑条纹图案中滤除出散斑噪声。然而,新的过滤难以克服散斑条纹定向图(SFOM)取决于当斑点边缘密度大大变化时难以正确地导出的处理窗口大小。在本文中,我们利用具有单梁设置的原始散斑图案序列来通过数字相关方法确定散斑运动方向场,从而从方向场确定SFOM。以这种方式,无论条纹密度如何,都可以衍生SFOM。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号