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Fusion-Based Digital Image Correlation Framework for Strain Measurement
Fusion-Based Digital Image Correlation Framework for Strain Measurement
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机译:基于融合的应变测量数字图像相关框架
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摘要
An image processing method for measuring displacement of an object comprising is provided. The method includes acquiring first sequential images and second sequential images, wherein two adjacent images of the first sequential images include first overlap portions, wherein two adjacent images of the second sequential images include second overlap portions, wherein the first sequential images correspond to a first three dimensional (3D) surface on the object at a first state and the second sequential images correspond to a second 3D surface on the object at a second state. The method further includes deblurring the first sequential and second sequential images to obtain sharp focal plane images based on a blind deconvolution method, stitching the sharpened first sequential images and the sharpened second sequential images into a first sharp 3D image and a second sharp 3D image based on camera pose estimations by solving a perspective-n-point (PnP) problem using a refined robust weighted Levenberg Marquardt (RRWLM) algorithm, respectively. The method further comprises forming a first two-dimensional (2D) image and a second 2D image by unfolding, respectively, the first sharp 3D image and the second sharp 3D, and generating a displacement(strain) map image from the first 2D and second 2D images by performing a two-dimensional digital image correction (DIC) method.
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