CAJ | 학술논문

为了能够通过一步搜索同时得到数字散斑图像中所测点的整像素和亚像素位移信息，采用灰度插值的方法构造了亚像素子区，改进了基于微粒子群算法的数字图像散斑相关方法。对含有平移信息的模拟散斑图和具有应变的模拟散斑图进行相关计算，验证了该方法的适用性；在对具有微小面内位移转动的试件进行测量时，比较了整像素的微粒子群算法和不同量级的灰度插值下的亚像素微粒子群算法。结果表明，基于微粒子群算法的亚像素数字散斑图像相关方法在测量小位移方面具有一定的优越性。
위료능구통과일보수색동시득도수자산반도상중소측점적정상소화아상소위이신식，채용회도삽치적방법구조료아상소자구，개진료기우미입자군산법적수자도상산반상관방법。대함유평이신식적모의산반도화구유응변적모의산반도진행상관계산，험증료해방법적괄용성；재대구유미소면내위이전동적시건진행측량시，비교료정상소적미입자군산법화불동량급적회도삽치하적아상소미입자군산법。결과표명，기우미입자군산법적아상소수자산반도상상관방법재측량소위이방면구유일정적우월성。
In order to get the integer pixel displacement information and the sub-pixel displacement information simultaneously at one time , the sub-pixel subarea was constructed by using the method of gray interpolation and the digital image correlation method based on particle swarm optimization algorithm was proposed .The applicability of the method was verified by measuring both the simulated speckle pattern with the translational information and with the strain information . And then, the integer pixel particle swarm algorithm and the sub-pixel of different magnitude interpolation gray particle swarm algorithm were compared by measuring the specimen with tiny rotational displacement .The results show that the particle swarm algorithm based on sub-pixel digital scattered spot image correlation method has advantages for small displacement measurement .