digital image correlationvibration signalsteel frameThis paper presents a new approach for automatical classification of structural state through deep learning. In this work, a Convolutional Neural Network (CNN) was designed to fuse both the feature extraction and classification blocks into an intelligent...
Digital image correlation (DIC) has become an industry standard to retrieve accurate displacement and strain measurement in tensile testing and other material characterization. Though traditional DIC offers a high precision estimation of deformation for general tensile testing cases, the prediction becomes ...
Crack segmentation Digital image correlation Deep learning Threshold method Masonry 1. Introduction Digital image correlation (DIC) is an optical measurement technique widely used in experimental mechanics to compute the deformation of a body [1], [2]. For the local subset DIC, images of a sample...
Deep DIC: Deep Learning-Based Digital Image Correlation for End-to-End Displacement and Strain Measurement - mfkiwl/Deep-Dic-deep-learning-based-digital-image-correlation
deep-learningfatiguedigital-image-correlationexplainable-ai UpdatedJun 24, 2022 Python jyang526843/STAQ-DIC Star3 Spatiotemporally Adaptive Quadtree Mesh (STAQ) Digital Image Correlation for solving large deformations near complex geometries and discontinuities ...
Digital volume correlation (DVC), extended from the popular two-dimensional digital image correlation (2D-DIC) [1,2] for deformation measurement of planar surfaces, is an image-based experimental tool for retrieving truly internal 3D kinematics fields throughout the interior of opaque materials and ...
The cross-correlation matrix c is calculated in Eq. (1): $${\rm{c}}=\frac{1}{d}{{BN}\left({z}_{a}\right)}^{T}\bullet {BN}\left({z}_{b}\right)$$ (1) Here, \({z}_{a}\) and \({z}_{b}\) represent two feature vectors extracted by ResNet50 after image ...
Spatial organization and molecular correlation of tumor-infiltrating lymphocytes using deep learning on pathology images. Cell Rep. 23, 181–193.e7 (2018). Article Google Scholar Marusyk, A., Janiszewska, M. & Polyak, K. Intratumor heterogeneity: the Rosetta Stone of therapy resistance. Cancer...
Official PyTorch implementation of paper:Transformer based deep learning for digital image correlation Introduction A DIC network developed based on GMFlow for high accuracy measurement of deformation. Different from previous models that construct feature maps to directly establish the relationship between gra...
OpenCorr is an open source C++ library for research and development of 2D, 3D/stereo, and volumetric digital image correlation (DIC). It provides a developer-friendly, lightweight, and efficient kit to the users who are willing to study the state-of-the-art algorithms of DIC and DVC (digi...