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- W2146828092 abstract "Abstract: A linear digital image correlation algorithm is proposed to eliminate noise-induced bias in one-dimensional translation estimation using noisy images. The algorithm uses linear interpolation for both initial and current images at off-pixel positions and solves directly the displacement parameter by minimizing a sum-of-squared-differences coefficient. Both analytical results and numerical simulations using synthetic image sets show that there is indeed no noise-induced bias in the displacement estimation using the proposed algorithm if the off-pixel positions in both images are chosen properly according to the relative displacement between two images. When the displacement is only known initially within a range of ±0.5 pixels from the actual displacement, an iterative procedure using the algorithm is able to obtain the displacement estimation with a residual bias that converges to the noiseless subpixel approximation bias. A further refinement of the off-pixel analysis algorithm will be needed so the remaining residual bias due to subpixel approximation can also be significantly reduced." @default.
- W2146828092 created "2016-06-24" @default.
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- W2146828092 date "2013-01-11" @default.
- W2146828092 modified "2023-10-16" @default.
- W2146828092 title "Reduction of Noise-Induced Bias in Displacement Estimation by Linear Off-Pixel Digital Image Correlation" @default.
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- W2146828092 doi "https://doi.org/10.1111/str.12023" @default.
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