@inproceedings{7e0163b0f88a4f16b9ffed1f564e02ef,
title = "A study of image processing based hole expansion test",
abstract = "In the automotive industry, reducing the CO2 emission and automobile safety during a crash is one of the areas where receiving the most interest is the production of vehicles. Achieving both objectives simultaneously can be done by choosing materials such as dual-phase steel and ferrite bainite steel. These steels are used in the automobile chassis and body parts and are formed by hole flanging to meet strength and design requirements. The formability of sheet material is determined empirically through the hole expansion test, and the judgment is subjective as it relies on the eye and experience of the tester. This manual judgment involves many errors and large deviations. This paper presents an automatic crack recognition system that finds cracks based on an image processing technique to overcome the current method{\textquoteright}s dependence on human senses.",
author = "Oh, \{S. H.\} and Yang, \{S. H.\} and Kim, \{Y. S.\}",
note = "Publisher Copyright: {\textcopyright} 2015 Taylor \& Francis Group, London.; International Conference on Testing and Measurement: Techniques and Applications, TMTA 2015 ; Conference date: 16-01-2015 Through 17-01-2015",
year = "2015",
language = "English",
isbn = "9781138028128",
series = "Testing and Measurement: Techniques and Applications - Proceedings of the 2015 International Conference on Testing and Measurement: Techniques and Applications, TMTA 2015",
publisher = "CRC Press/Balkema",
pages = "349--355",
editor = "Kennis Chan",
booktitle = "Testing and Measurement",
}