Code for composite SEM image processing, underlying the publication: Thin, Uniform, and Highly Packed Multifunctional Structural Carbon Fiber Composite Battery Lamina Informed by Solid Polymer Electrolyte Cure Kinetics

This repository contains MATLAB code for detecting and analyzing circular features (e.g., fibers) in composite images. The script demonstrates how to preprocess images, identify round objects, and calculate relevant metrics such as the Fiber Volume Fraction (FVF). This code was used in the paper titled: 'Thin, Uniform, and Highly Packed Multifunctional Structural Carbon Fiber Composite Battery Lamina Informed by Solid Polymer Electrolyte Cure Kinetics'. Its a simple code, that employs MATLAB's built in functions in the Image Processing Toolbox, to get the stochastic properties of composites. In my case, an SEM image of CFRP cross-section is used, and I will use it as a showcase for the code running framework. This code was developed during my Master's research at KAIST (Korea Advanced Institute of Science and Technology).

本仓库包含用于检测与分析复合材料图像中圆形特征（如纤维）的MATLAB代码。该脚本演示了如何对图像进行预处理、识别圆形目标，并计算相关指标，例如纤维体积分数（Fiber Volume Fraction, FVF）。本代码曾用于以下标题的论文：《基于固态聚合物电解质固化动力学的超薄、均匀且高填充多功能结构碳纤维复合电池薄板》。本代码仅调用MATLAB图像处理工具箱（Image Processing Toolbox）的内置函数，即可获取复合材料的随机特性。在本案例中，我们采用碳纤维增强复合材料（Carbon Fiber Reinforced Polymer, CFRP）截面的扫描电子显微镜（SEM）图像，将其作为该代码运行框架的演示示例。本代码是我在韩国科学技术院（Korea Advanced Institute of Science and Technology, KAIST）攻读硕士学位期间的研究成果。