电子与信息学报
電子與信息學報
전자여신식학보
JOURNAL OF ELECTRONICS & INFORMATION TECHNOLOGY
2014年
11期
2600-2606
,共7页
肖志涛%袁泉%张芳%吴骏%耿磊%冯铁君%陈颖%王丹钰
肖誌濤%袁泉%張芳%吳駿%耿磊%馮鐵君%陳穎%王丹鈺
초지도%원천%장방%오준%경뢰%풍철군%진영%왕단옥
图像处理%电子散斑干涉测量技术%偏微分方程%条纹滤波%非连续性测度
圖像處理%電子散斑榦涉測量技術%偏微分方程%條紋濾波%非連續性測度
도상처리%전자산반간섭측량기술%편미분방정%조문려파%비련속성측도
Image processing%Electronic Speckle Pattern Interferometry (ESPI)%Partial Differential Equation (PDE)%Fringe filtering%DisContinuities Measure (DCM)
近年来,电子散斑干涉测量技术(ESPI)在光学粗糙表面的变形测量和无损检测方面应用广泛。应用该技术时,条纹图中大量的散斑噪声给提取条纹信息带来了极大的困难。偏微分方程图像滤波方法是一种方案灵活、处理效果良好的图像去噪方法,尤其是方向偏微分方程,因其只沿着条纹方向进行滤波,更适合电子散斑干涉条纹图。由于条纹图的疏密程度不同,因此在考虑滤波方向的同时,还应考虑不同位置像素点的滤波程度。该文在方向偏微分方程基础上引入非连续性测度,提出结合非连续性测度(DCM)的方向偏微分方程。利用该方程对模拟的条纹图以及实际获得的条纹图进行滤波,实验结果表明该文方法能够充分滤除稀疏条纹处的噪声,同时有效保持密集条纹处的重要特征。
近年來,電子散斑榦涉測量技術(ESPI)在光學粗糙錶麵的變形測量和無損檢測方麵應用廣汎。應用該技術時,條紋圖中大量的散斑譟聲給提取條紋信息帶來瞭極大的睏難。偏微分方程圖像濾波方法是一種方案靈活、處理效果良好的圖像去譟方法,尤其是方嚮偏微分方程,因其隻沿著條紋方嚮進行濾波,更適閤電子散斑榦涉條紋圖。由于條紋圖的疏密程度不同,因此在攷慮濾波方嚮的同時,還應攷慮不同位置像素點的濾波程度。該文在方嚮偏微分方程基礎上引入非連續性測度,提齣結閤非連續性測度(DCM)的方嚮偏微分方程。利用該方程對模擬的條紋圖以及實際穫得的條紋圖進行濾波,實驗結果錶明該文方法能夠充分濾除稀疏條紋處的譟聲,同時有效保持密集條紋處的重要特徵。
근년래,전자산반간섭측량기술(ESPI)재광학조조표면적변형측량화무손검측방면응용엄범。응용해기술시,조문도중대량적산반조성급제취조문신식대래료겁대적곤난。편미분방정도상려파방법시일충방안령활、처리효과량호적도상거조방법,우기시방향편미분방정,인기지연착조문방향진행려파,경괄합전자산반간섭조문도。유우조문도적소밀정도불동,인차재고필려파방향적동시,환응고필불동위치상소점적려파정도。해문재방향편미분방정기출상인입비련속성측도,제출결합비련속성측도(DCM)적방향편미분방정。이용해방정대모의적조문도이급실제획득적조문도진행려파,실험결과표명해문방법능구충분려제희소조문처적조성,동시유효보지밀집조문처적중요특정。
The Electronic Speckle Pattern Interferometry (ESPI) is widely used for deformation measurement and nondestructive testing of the optical rough surface in recent years. Removal of the speckle noise is of fundamental importance for accurate extraction of the phase information. The Partial Differential Equation (PDE) filters are well-known for their good processing results, especially the oriented partial differential equation can control the direction of the filtering, which is more suitable for the ESPI image. Furthermore, the filtering degree of different pixels is considered. A new oriented PDE filter model is proposed for the ESPI fringe, in which the DisContinuities Measure (DCM) of an image is introduced to control the diffusion speed. The effectiveness of the proposed method is tested by means of the computer simulation and the experimentation on a real ESPI fringe patterns respectively. The results show that noise is effectively suppressed and the fringe edge is well preserved, even for very dense fringes.