Paper
12 December 2022 Biomedical image segmentation method based on contour preparation
Ainur Orazayeva, Waldemar Wójcik, Sergii Pavlov, Leonid Tymchenko, Natalia Kokriatska, Volodymyr Tverdomed, Jamalbek Tussupov, Gulzira Abdikerimova, Valentyna Kuchko, Liudmyla Semenova
Author Affiliations +
Proceedings Volume 12476, Photonics Applications in Astronomy, Communications, Industry, and High Energy Physics Experiments 2022; 1247605 (2022) https://doi.org/10.1117/12.2657929
Event: Photonics Applications in Astronomy, Communications, Industry, and High Energy Physics Experiments 2022, 2022, Lublin, Poland
Abstract
The methods of processing biomedical images, namely thermal images, are investigated. Algorithms for calculating the temperature and area of the zone of interest in the manual mode operator-computer, as well as in the automatic mode, are specified. Methods of thermal image processing are presented, namely recursive generalized contour preparation and preparation based on histograms of connections. An experimental study of these methods was performed, as well as a comparison of thermal image segmentation methods in manual segmentation modes, using contour preparation-based segmentation, multilevel segmentation based on recursive generalized contour preparation, and automatic segmentation based on connectivity histograms.
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ainur Orazayeva, Waldemar Wójcik, Sergii Pavlov, Leonid Tymchenko, Natalia Kokriatska, Volodymyr Tverdomed, Jamalbek Tussupov, Gulzira Abdikerimova, Valentyna Kuchko, and Liudmyla Semenova "Biomedical image segmentation method based on contour preparation", Proc. SPIE 12476, Photonics Applications in Astronomy, Communications, Industry, and High Energy Physics Experiments 2022, 1247605 (12 December 2022); https://doi.org/10.1117/12.2657929
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KEYWORDS
Image segmentation

Thermography

Image processing

Biomedical optics

Computing systems

Image analysis

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