Improved fuzzy entropy algorithm for x-ray pictures preprocessing

Authors:
Mariusz Korkosz;Marzena Bielecka;Andrzej Bielecki;Marek Skomorowski;Wadim Wojciechowski;Tomasz Wójtowicz
Affiliations:
Division of Rheumatology, Departement of Internal Medicine and Gerontology, Jagiellonian University Hospital, Cracow, Poland;Department of Geoinformatics and Applied Computer Science, Faculty of Geology, Geophysics and Environmental Protection, AGH University of Science and Technology, Cracow, Poland;Institute of Computer Science, Faculty of Mathematics and Computer Science, Jagiellonian University, Cracow, Poland;Institute of Computer Science, Faculty of Mathematics and Computer Science, Jagiellonian University, Cracow, Poland;Department of Radiology, Jagiellonian University Hospital, Cracow, Poland;Institute of Computer Science, Faculty of Mathematics and Computer Science, Jagiellonian University, Cracow, Poland
Venue:
ICAISC'12 Proceedings of the 11th international conference on Artificial Intelligence and Soft Computing - Volume Part II
Year:
2012

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Abstract

The fuzzy entropy algorithm was designed for preprocessing of photos taken in the visible spectrum of light. However it did not produce satisfying results when it is directly applied to X-ray pictures. In this paper we present significant improvements of this approach and apply it to hand radiographs. The noise elimination and the bone contourisation is the task which is studied in this paper. Not only is the algorithm modified but also it is combined with using of median and minimum filters. The presented approach allows us to obtain satisfying noise elimination and clear bone contourisation.