基于灰度梯度的载波条纹图像空间频率估计  

Spatial Frequency Estimation from Intensity Gradients of Spatial Carrier Fringe Pattern

作　　者：张瑞华[1] 张佳兴[1] 张威 ZHANG Rui-hua;ZHANG Jia-xing;ZHANG Wei(School of Mechanical Engineering,Nantong Vocational University,Nantong 226007,China)

机构地区：[1]南通职业大学机械工程学院,江苏南通226007

出　　处：《南通职业大学学报》2018年第3期72-77,91,共7页Journal of Nantong Vocational University

基　　金：江苏省高校自然科学研究面上项目(16KJB460030);南通市科技计划项目(CP12015008)

摘　　要：为解决图像处理中位相变化较大(如边缘、开孔等),条纹难以从背景中完全提取的问题,提出一种新的空间载波条纹图局部空间频率估计方法,即计算载波条纹图灰度梯度,并从相素邻域中估计其标准差,再根据该标准差计算出像素局部位相梯度(空间频率)。同时,通过仿真实验对该算法的有效性进行了验证。结果表明,该方法原理简单、易于操作、对环境噪声不敏感,且在位相变化较大的空间载波条纹图分析中具有明显优势。In order to overcome the problem of the very large phase deformations(i.e.edge and cutting a hole)and difficulties in retrieving fringe phase map,this paper proposes a new algorithm for estimating the local frequencies of a fringe pattern with spatial carrier.First,the intensity gradients of the fringe pattern are calculated,and then the standard deviations(SDs)of the intensity gradients at each pixel are estimated from its neighborhood.Then the local phase gradients(i.e.spatial frequencies)are estimated from the SDs just calculated.Furthermore,the validity of this algorithm is verified by means of simulation.The results show that this method has a simple principle and is easy to implement.It is robust under noise conditions and has potential in developing effective techniques for retrieving phases from a spatial carrier fringe pattern with large phase variations.

关 键 词：载波条纹图 空间频率 灰度梯度 位相分析 频率估计 

分 类 号：TH741[机械工程—光学工程]