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Fusion-Based Digital Image Correlation Framework for Strain Measurement

机译:基于融合的应变测量数字图像相关框架

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.
机译:提供了一种用于测量物体位移的图像处理方法,包括:。该方法包括获取第一序列图像和第二序列图像,其中第一序列图像的两个相邻图像包括第一重叠部分,其中第二序列图像的两个相邻图像包括第二重叠部分,其中,第一序列图像对应于处于第一状态的对象上的第一三维(3D)表面,第二序列图像对应于处于第二状态的对象上的第二3D表面。该方法还包括基于盲解卷积方法对第一序列图像和第二序列图像进行去模糊,以获得清晰的焦平面图像,通过分别使用改进的鲁棒加权Levenberg-Marquardt(RRWLM)算法解决透视n点(PnP)问题,将经过锐化的第一序列图像和经过锐化的第二序列图像拼接成基于相机姿态估计的第一锐化3D图像和第二锐化3D图像。该方法还包括通过分别展开第一夏普3D图像和第二夏普3D图像来形成第一二维(2D)图像和第二二维图像,并通过执行二维数字图像校正(DIC)方法从第一二维和第二二维图像生成位移(应变)图图像。

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