Abstract
In this paper, we propose segmentation-aided digital image correlation (SA-DIC) for measuring the deformation near the interface between two contact bodies. Conventional DIC assumes that the shape function correctly warps a square subset from the reference image to the deformed image. When the subset is close to the contact interface, it contains pixels from the two contact bodies and the background if clearance is present. The displacement field in the subset is greatly complicated by the induced discontinuity and mismatches the shape function. To resolve this problem, SA-DIC automatically segments the image pixels into three categories: the two contact bodies and the invalid area. By using complementary speckle patterns, the contact interface exhibits a sharp intensity transition and it is extracted by edge detection. The background pixels are identified from the difference of the reference image pair captured with distinct background. Based on the image segmentation, only the pixels belonging to the same category are included in the subset. Their displacements are homogeneous and thus well characterized by the shape function used in DIC. Both simulated and real-world experiments are carried out to evaluate the proposed method and compare with conventional DIC. The results show that SA-DIC is able to measure the localized deformation due to the contact, while conventional DIC generates large errors near the contact interface and falsely locates the most deformed areas.
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This research work is supported by National Natural Science Foundation of China, Grant No.11372182 and No.11472267.
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Sun, C., Zhou, Y., Chen, J. et al. Measurement of Deformation Close to Contact Interface Using Digital Image Correlation and Image Segmentation. Exp Mech 55, 1525–1536 (2015). https://doi.org/10.1007/s11340-015-0055-8
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DOI: https://doi.org/10.1007/s11340-015-0055-8