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Some selected quantitative methods of thermal image analysis in Matlab.
1Department of Biomedical Computer Systems, University of Silesia, Faculty of Computer Science and Materials Science, Institute of Computer Science, ul. Będzińska 39, Sosnowiec, 41-200, Poland. robert.koprowski@us.edu.pl.
Journal of Biophotonics
|November 12, 2015
Summary
This study introduces an automated algorithm for quantitative thermal image analysis using MATLAB, enabling reproducible measurements. The developed software is applied to human skin thermal imaging, with source code provided.
Area of Science:
- Thermography
- Medical Imaging
- Image Analysis
Background:
- Quantitative analysis of thermal images is crucial for various applications.
- Existing methods may lack automation and reproducibility.
- MATLAB is a widely used platform for scientific computation and algorithm development.
Purpose of the Study:
- To present a novel, automated algorithm for quantitative analysis of thermal images.
- To demonstrate the practical implementation of this algorithm in MATLAB.
- To provide a tool for reproducible measurements of thermal image parameters.
Main Methods:
- Development of an algorithm integrating selected automatic quantitative methods.
- Implementation of the algorithm in MATLAB for practical application.
- Validation of the methods through case studies on human foot and face thermal images.
Main Results:
- The algorithm enables fully automated and reproducible measurements of selected parameters in thermal images.
- Successful application demonstrated on thermal images of human skin (foot and face).
- The full source code of the developed application is provided.
Conclusions:
- The proposed algorithm offers an effective solution for automated quantitative thermal image analysis.
- The MATLAB implementation provides a practical and reproducible tool for researchers.
- This work facilitates advancements in thermal imaging applications, particularly in dermatology and medical diagnostics.
