Recognition Pattern Analysis of Astronomical Object Forms Using the Analytical Model
Image processing and pattern recognition in astronomy represents a dynamic field of study where the analysis of astronomical object shapes plays a crucial role. This is associated with the necessity of identifying and classifying various patterns present in astronomical images. An important aspect of processing astronomical images is the recognition and analysis of patterns contained within these images. Patterns can vary from circular shapes of stars and galaxies to elongated structures of gas clouds. Understanding these patterns not only helps us identify objects in space but also provides unique information about their structure, evolution, and physical characteristics. Another key aspect is the utilization of an analytical image model. This is a mathematical approach that allows modeling images of objects in space and analyzing their characteristics. The analytical model enables the detection of brightness peaks in images, determining typical object shapes, and conducting various analytical investigations.
Authors
- Volodymyr Troianskyi
- Sergii Khlamov (ORCID: https://orcid.org/0000-0001-9434-1081)
- Vadym Savanevych (ORCID: https://orcid.org/0000-0001-8840-8278)
- Igor Grebennik (ORCID: https://orcid.org/0000-0003-3716-9638)
- Yuriy Netrebin (ORCID: https://orcid.org/0009-0001-8778-3241)
- Yehor Bondar (ORCID: https://orcid.org/0009-0001-5309-0084)
Institutions
- Kharkiv National University of Radio Electronics (UA)
- Slovak Academy of Sciences (SK)
- Astronomical Institute of the Slovak Academy of Sciences (SK)
- V. N. Karazin Kharkiv National University (UA)
Publication Details
- Published
- 2024-09-19
- DOI
- https://doi.org/10.1109/acit62333.2024.10712574
- Citations
- 1
- Primary Topic
- Astronomical Observations and Instrumentation
- Type
- article
- Field-Weighted Citation Impact
- 0.37