|
This article is cited in 1 scientific paper (total in 1 paper)
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 algorithm’s 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.
Received: 02.10.2018 Accepted: 05.03.2019
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
Linking options:
https://www.mathnet.ru/eng/co659 https://www.mathnet.ru/eng/co/v43/i3/p397
|
|