Andrzej Katunina

Work place: Institute of Fundamentals of Machinery Design, Silesian University of Technology, 18A Konarskiego Street, 44-100 Gliwice, Poland



Research Interests: Physics, Image Processing, Image Compression, Computational Physics


Andrzej Katunin received the BS degree in Mechanics from Bialystok Technical University, Poland, in 2006, and his MS and PhD degrees in Mechanics from Silesian Technical University, Poland, in 2008 and 2012, respectively, while the DSc degree (habilitation) in Machines Design and Operation in 2015 in the same university. He is an associate professor in the Institute of Fundamentals of Machinery Design, Silesian University of Technology. His research interests include mechanics of composites, non-destructive testing methods, advanced signal and image processing techniques, wavelets and fractals theory and applications.

Author Articles
Construction of Fractals based on Catalan Solids

By Andrzej Katunina

DOI:, Pub. Date: 8 Nov. 2017

The deterministic fractals play an important role in computer graphics and mathematical sciences. The understanding of construction of such fractals, especially an ability of fractals construction from various types of polytopes is of crucial importance in several problems related both to the pure mathematical issues as well as some issues of theoretical physics. In the present paper the possibility of construction of fractals based on the Catalan solids is presented and discussed. The method and algorithm of construction of polyhedral strictly deterministic fractals is presented. It is shown that the fractals can be constructed only from a limited number of the Catalan solids due to the specific geometric properties of these solids. The contraction ratios and fractal dimensions are presented for existing fractals with adjacent contractions constructed based on the Catalan solids.

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Ultrasonic C-Scan Image Processing Using Multilevel Thresholding for Damage Evaluation in Aircraft Vertical Stabilizer

By Angelika Wronkowicz Andrzej Katunina Krzysztof Dragan

DOI:, Pub. Date: 8 Oct. 2015

Following the "on condition maintenance" approach used for extending service life of an aircraft one of the major tasks is a nondestructive testing of its critical elements. Considering that many of elements of operated aircraft are manufactured from polymeric composites a special attention should be paid for diagnosing these elements due to their high vulnerability to barely visible impact damage. One of the primary testing techniques used for inspection of aircraft composite elements is an ultrasonic C-Scan technique which application results in planar images of emitted/received wave attenuation and a time of flight map. Due to the complex nature of barely visible impact damage occurrence it is difficult to analyze resulting C-Scan images. Therefore, using assistance based on image processing may help with "big–data" analysis of collected images. In this paper the authors proposed the image processing algorithm for semi-automatic evaluation of such damage distribution in aircraft composite structures. The algorithm is based on multilevel Otsu thresholding and morphological processing. Using the proposed algorithm an extraction of damage visualization from a C-Scan image as well as its characterization and 3D representation is possible. The developed approach will allow supporting diagnosing of composite structures with impact damage using C-Scan technique.

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