Image-based Data on Strain Fields of Microstructures with Porosity Defects_2

This dataset is one of the three datasets that are utilized in the research, 'Predicting elastic strain fields in defective microstructures using image colorization algorithms' submitted for publication in the Computational Material Science Journal. This is a part of supplementary data for the Data in Brief article co-submitted alongside the aforementioned paper in Computational Material Science Journal. The data file is a MATLAB Binary Data Compressed file (.mat) that contains images of microstructures and their respective strain fields represented as two-dimensional arrays. This data is utilized for training a convolutional neural network to predict strain fields within a microstructure, through image colorization algorithm. This data contains image data of two sets of 10 microstructures with circular porosity defects and their strain fields, for each of the two experiments described in the aforementioned research article.

这个数据集是研究论文《基于图像着色算法预测含缺陷微结构中的弹性应变场》（'Predicting elastic strain fields in defective microstructures using image colorization algorithms'）所使用的三个数据集之一，该论文已投稿至《计算材料科学期刊》（Computational Material Science Journal）。本数据集同时也是与上述《计算材料科学期刊》论文共同投稿的《Data in Brief》文章的补充数据之一。该数据文件为MATLAB二进制压缩数据文件（.mat格式），包含微结构图像及其对应的应变场数据，后者以二维数组形式表示。此数据用于训练卷积神经网络（convolutional neural network），以通过图像着色算法预测微结构内部的应变场。该数据集包含两组数据，分别对应上述研究论文中描述的两个实验；每组数据包含10个带有圆形孔隙缺陷的微结构图像及其应变场数据。