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Computer Optics, 2019, Volume 43, Issue 3, Pages 397–401 (Mi co659)  

IMAGE PROCESSING, PATTERN RECOGNITION

Improvements of programing methods for finding reference lines on X-Ray images

A. M. Al-Temimi, V. S. Pilidi

Southern Federal University, Rostov-on-Don, Russia

Abstract: The paper gives an overview of the algorithms developed to obtain reference lines and angles on X-ray images. These geometrical characteristics are used in the medical analysis of human joints. We propose the algorithmís modifications based on the analysis of numerous X-ray images. These modifications allowed obtaining a great increase in calculation speed and the improvement of final results quality given by the corresponding application. They also lead to a significant reduction of manual tuning of the program, arising only in the rare cases when the properties of given images differ significantly from the mean ones.

Keywords: reference lines and angles, Canny edge detection algorithm, reference lines, image processing, X-ray images, pattern recognition.

DOI: https://doi.org/10.18287/2412-6179-2019-43-3-397-401

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Full text: http://www.computeroptics.smr.ru/.../430308.html
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Received: 02.10.2018
Accepted:05.03.2019
Language:

Citation: A. M. Al-Temimi, V. S. Pilidi, “Improvements of programing methods for finding reference lines on X-Ray images”, Computer Optics, 43:3 (2019), 397–401

Citation in format AMSBIB
\Bibitem{Al-Pil19}
\by A.~M.~Al-Temimi, V.~S.~Pilidi
\paper Improvements of programing methods for finding reference lines on X-Ray images
\jour Computer Optics
\yr 2019
\vol 43
\issue 3
\pages 397--401
\mathnet{http://mi.mathnet.ru/co659}
\crossref{https://doi.org/10.18287/2412-6179-2019-43-3-397-401}


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