Record link: 
http://hdl.handle.net/20.500.12708/176353
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Title: 
Enhancement of Images from Industrial X-Ray Computed Tomography Systems by Hybrid Approach
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Citation: 
Sokac, M., Santosi, Z., Vukelic, D., Katic, M., Durakbasa, M. N., & Budak, I. (2019). Enhancement of Images from Industrial X-Ray Computed Tomography Systems by Hybrid Approach. In N. M. Durakbasa & M. G. Gençyılmaz (Eds.), Proceedings of the International Symposium for Production Research 2019 (pp. 519–524). Springer Nature Switzerland AG. https://doi.org/10.1007/978-3-030-31343-2_45
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Publisher DOI: 
10.1007/978-3-030-31343-2_45
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Publication Type: 
Inproceedings - Full-Paper Contribution
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Language: 
English
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Authors: 
Sokac, Mario 
Santosi, Zeljko 
Vukelic, Djordje 
Katic, Marko 
Durakbasa, M. Numan 
Budak, Igor 
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Organisational Unit: 
E311-01-4 - Forschungsgruppe Fertigungsmesstechnik und adaptronische Systeme 
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Published in: 
Proceedings of the International Symposium for Production Research 2019 
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ISBN: 
978-3-030-31342-5
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DOI of the book: 
10.1007/978-3-030-31343-2
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Date (published): 
2019
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Event name: 
International Symposium for Production Research 2019 
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Event date: 
28-Aug-2019
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Event place: 
Wien, Austria
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Number of Pages: 
6
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Publisher: 
Springer Nature Switzerland AG
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Peer reviewed: 
Yes
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Keywords: 
Image processing; X-ray CT; Computed tomography; Artefacts; Industrial CT Images
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Abstract: 
Application of the computed tomography (CT) within industry has been rising in recent years due to its non-destructive abilities and accuracy. Nevertheless, there are some challenges related to CT scanning, such as pres- ence of artefacts. The aim of this research is to investigate to what extent the application of some advanced algorithms can influence the accuracy of the X-ray CT images. In this paper, after a brief overview of different existing methods used for reduction of different types of artefacts, preliminary research of a new approach for CT image enhancement is presented. It is based on a hybrid methodology using two different methods - Fuzzy Clustering and Region Growing - joined in order to exploit their advantages. Results show that the proposed methodology contributes to CT image enhancement, with borders of segmented objects on CT images more easily extracted.
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Research Areas: 
Structure-Property Relationship: 50%
Metallic Materials: 30%
Modelling and Simulation: 20%
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Science Branch: 
Maschinenbau
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Appears in Collections:
Conference Paper

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