光电工程
光電工程
광전공정
Opto-Electronic Engineering
2015年
11期
54-61,68
,共9页
减运算%频域%数字散斑相关法%高阶涡旋%匹配滤波器
減運算%頻域%數字散斑相關法%高階渦鏇%匹配濾波器
감운산%빈역%수자산반상관법%고계와선%필배려파기
subtract operations%frequency domain%digital speckle correlation method (DSCM)%higher-order optical vortex%matching filter
针对采用传统频域数字散斑相关法测量面内微位移受到噪声的影响严重、测量精度低等问题,提出了一种新的频域数字高阶涡旋散斑相关法。首先,通过高阶涡旋散斑图生成实验,发现了高阶涡旋散斑图具有抗噪声干扰能力强、在相关器输出面上能得到面积小且亮度高的相关点,于是将待测物体的高阶涡旋散斑图作为测量对象;然后通过理论计算推导,应用减运算合成位移前后的高阶涡旋图,可以在相关器输出面上同时显示位移前后的两个相关点,突破了传统方法只能显示位移后一个相关点的现状,并且有效抵消了背景噪声;最后设计了一种新型的滤波器对合成图进行匹配滤波,可以生成峰值锐利的相关光斑图。实验结果验证了,该方法使得测量精度和抗噪声干扰能力得到极大提高,在不同噪声干扰下相对误差仍能保持小于2%。
針對採用傳統頻域數字散斑相關法測量麵內微位移受到譟聲的影響嚴重、測量精度低等問題,提齣瞭一種新的頻域數字高階渦鏇散斑相關法。首先,通過高階渦鏇散斑圖生成實驗,髮現瞭高階渦鏇散斑圖具有抗譟聲榦擾能力彊、在相關器輸齣麵上能得到麵積小且亮度高的相關點,于是將待測物體的高階渦鏇散斑圖作為測量對象;然後通過理論計算推導,應用減運算閤成位移前後的高階渦鏇圖,可以在相關器輸齣麵上同時顯示位移前後的兩箇相關點,突破瞭傳統方法隻能顯示位移後一箇相關點的現狀,併且有效牴消瞭揹景譟聲;最後設計瞭一種新型的濾波器對閤成圖進行匹配濾波,可以生成峰值銳利的相關光斑圖。實驗結果驗證瞭,該方法使得測量精度和抗譟聲榦擾能力得到極大提高,在不同譟聲榦擾下相對誤差仍能保持小于2%。
침대채용전통빈역수자산반상관법측량면내미위이수도조성적영향엄중、측량정도저등문제,제출료일충신적빈역수자고계와선산반상관법。수선,통과고계와선산반도생성실험,발현료고계와선산반도구유항조성간우능력강、재상관기수출면상능득도면적소차량도고적상관점,우시장대측물체적고계와선산반도작위측량대상;연후통과이론계산추도,응용감운산합성위이전후적고계와선도,가이재상관기수출면상동시현시위이전후적량개상관점,돌파료전통방법지능현시위이후일개상관점적현상,병차유효저소료배경조성;최후설계료일충신형적려파기대합성도진행필배려파,가이생성봉치예리적상관광반도。실험결과험증료,해방법사득측량정도화항조성간우능력득도겁대제고,재불동조성간우하상대오차잉능보지소우2%。
For the problem of being susceptible to the influence of noise, low accuracy in micro in-plane displacement measurement using traditional digital speckle correlation in frequency domain, digital higher-order vortex speckle correlation method in frequency domain is proposed. First, it is found that higher-order vortex speckle pattern has an ability to resist noise and the output surface of correlator can get smaller and brighter correlation points according to the experiment of generating higher-order vortex speckle pattern, then using higher-order speckle pattern as measured object. Second, theoretical calculations are deduced, and then new patterns before and after displacement of the higher-order vortex speckle are synthesized using subtract operations. The two correlation points can be gotten on the output of correlator, which changes the current status that only has one correlation point using traditional method, effectively counteracting background noise. Finally, we design a new filter to generate the relevant spot diagram, whose correlation spot map peaks become sharp. Experiment results show that the algorithm has made great advance in reducing noise and improving accuracy, which can maintain relative error less than 2% under different noise.