# Structure Analysis of the FRP Rebar Using Computer Vision Techniques

arXiv: https://arxiv.org/abs/2304.14358 · HTML: https://mlsanity.com/paper/2304.14358/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 2 of its 17 references that are in the map.
- First posted on arXiv 27 Apr 2023.

## Builds on (most cited first, 2 of 2)

- [Improving Unsupervised Defect Segmentation by Applying Structural Similarity to Autoencoders](https://mlsanity.com/paper/1807.02011/) (2018)
- [Visual diagnosis of the Varroa destructor parasitic mite in honeybees using object detector techniques](https://mlsanity.com/paper/2103.03133/) (2021)

## Abstract (arXiv)

In this paper we present a method to analyze the inner structure of the composite FRP rebar, namely the shift of the real center of gravity with a respect to the geometrical center of rebar and changes of cross-sectional characteristics. We propose an automated pipeline based on classical computer vision techniques and on the ratio between the glass fibers and epoxy filament in the analyzed cross-section to compute the shift vector of the real center of gravity in respect to the geometrical center together with the cross-section area and its principal moments. We discuss the achieved results over two cross sections in a different portion of the rebar and in the end, we suggest possible direction and improvements for our future work. We also made our code publicly available.