Modified Surface Fitting Algorithm using Digital Image Correlation for Effective Displacement Analysis

S.Agnes Shifani,Godwin Premi

Displacement analysis utilizing surface fitting algorithm (SFA) is an essential technique in digital image correlation additionally with robust in computational complexity without noise interference in real time applications. There is a need in expanding and improving the accuracy of existing surface fitting algorithm (E-SFA). In order to achieve this modified surface fitting algorithm (M-SFA) is proposed. Integrated interpolation technique utilized to search the pixel position and its corresponding gray level value in the displacement matrix and also obtain the weight co-efficient of the particular pixel. The proposed M-SFA is highly suitable in finding the initial displacement accuracy of the subpixel. The simulation results obtained in linear and nonlinear displacement shows that the calculation time is same but the calculation accuracy is increased in proposed M-SFA than the E-SFA.

Volume 12 | 06-Special Issue

Pages: 1-6

DOI: 10.5373/JARDCS/V12SP6/SP20201001