Model reconstruction of fiber yarn from CT images

DOI

10.2991/978-94-6463-423-5_13How to use a DOI?

Keywords

CT images; Matlab; 3D geometry; script

Abstract

The Image analysis of fibers is a key technique in the field of materials research and industrial engineering. The purpose of this work is to present a solution for fiber image analysis using MATLAB, a high-performance software environment for numerical computations and data visualization. This work focused on the detection, segmentation, and quantification of fibers in microscopic images. Initially, image preprocessing techniques such as filtering and adaptive thresholding were applied to enhance contrast and reduce noise. Subsequent steps utilized edge detection algorithms, like the Canny detector, and fiber segmentation, for instance using Watershed transformation. Quantification of the fibers was carried out by extracting geometric and textural features, such as length, diameter, orientation, and energy. These properties provide important information about the structure and characteristics of the fibers. The results of the implementation show high accuracy in detecting and segmenting the central points of fibers and provide important information for further material analysis. This work presents an efficient and robust solution for fiber image analysis using MATLAB, which can be applied in various areas, such as the textile industry, biomedical research, or materials engineering. This approach opens new possibilities for the automation of fiber analysis and accelerates the processes of research and development of materials. The created work contributes to a better understanding of the structure and properties of fibers and enhances the potential of their use in a wide range of applications.

Copyright

© 2024 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Josef Vosáhlo
PY  - 2024
DA  - 2024/05/22
TI  - Model reconstruction of fiber yarn from CT images
BT  - Proceedings of the 62nd International Conference of Machine Design Departments (ICMD 2022)
PB  - Atlantis Press
SP  - 113
EP  - 122
SN  - 2589-4943
UR  - https://doi.org/10.2991/978-94-6463-423-5_13
DO  - 10.2991/978-94-6463-423-5_13
ID  - Vosáhlo2024
ER  -