@ARTICLE{Dudzik_Sebastian_Detection_2021,
 author={Dudzik, Sebastian and Dudek, Grzegorz},
 volume={vol. 28},
 number={No 1},
 journal={Metrology and Measurement Systems},
 pages={89-105},
 howpublished={online},
 year={2021},
 publisher={Polish Academy of Sciences Committee on Metrology and Scientific Instrumentation},
 abstract={Active thermography is an efficient tool for defect detection and characterization as it does not change the properties of tested materials. The detection and characterization process involves heating a sample and then analysing the thermal response. In this paper, a long heating pulse was used on samples with a low thermal diffusivity and artificially created holes of various depths. As a result of the experiments, heating and cooling curves were obtained. These curves, which describe local characteristics of the material, are recognized using a classification tree and divided into categories depending on the material thickness (hole depths). Two advantages of the proposed use of classification trees are: an in-built mechanism for feature selection and a strong reduction in the dimensions of the pattern. Based on the experimental study, it can be concluded that classification trees are a useful tool for the thinning detection of homogeneous material.},
 type={Article},
 title={Detection of thinning of homogeneous material using active thermography and classification trees},
 URL={http://www.czasopisma.pan.pl/Content/118923/PDF/art06.pdf},
 doi={10.24425/mms.2021.135994},
 keywords={active thermography, classification tree, defect detection and characterization, material thinning detection},
}