# Image-Analysis-Based Validation of the Mathematical Framework for the Representation of the Travel of an Accelerometer-Based Texture Testing Device

## TL;DR

This paper validates mathematical models for a texture testing device using video analysis, ensuring accurate measurements of surface characteristics.

## Contribution

The study introduces validated mathematical models and emphasizes the importance of height adjustment for reproducibility in texture testing.

## Key findings

- Video image analysis confirmed the best-fit mathematical models for probe movement.
- Correct height adjustment significantly impacts measurement reproducibility.
- The findings support future comparisons with established texture analyzers.

## Abstract

Texture testing is applied in various industries. Recently, a simple, accelerometer-equipped texture testing device (Surface Tester of Food Resilience; STFR) has been developed, and we elaborated formulae describing the movement of the probe. In this paper, we describe the validation of said formulae, relying on video image analysis of the travel of the spherical probe. This allowed us to select the best-fit mathematical models. We elaborated formulae for accurate calculation of specimen surface characteristics and present an application integrating these formulae in the test procedure. The impact of correct height adjustment and specimen height was found to be critical for reproducibility of measurements and thus needs attendance. These findings form the basis for future comparative studies with established texture analyzers.