IMAGE SEGMENTATION ALGORITHM FOR FILAMENTARY STRUCTURES DETECTION

Baimukhametova S. Alina D. Adai S.
2021 L.N. Gumilyov Eurasian National University

Eurasian Journal of Mathematical and Computer Applications
2021 #9 Issue 3 4 - 13 pp.

Large observational surveys of space telescopes in the infra-red and submillimeter ranges revealed intriguing structure of the interstellar medium which implied a boost in the development of filament detection algorithms. Thousands of filaments can be detected in astronomical data sets and detailed studies turn to be challenging. We propose a method that aims at building individual maps fully containing at least one coherent filament, out of larger maps. The method is based on the image processing techniques such as the Rolling Hough Transform, the image component labeling, and the center of mass technique. We apply our method to the Planck satellite data and show that known nearby molecular clouds are well identified with our method.

Astrophysics , filaments detection , Hough Transform , image processing , interstellar medium

Text of the article Перейти на текст статьи

Physics Department, School of Sciences and Humanities, Nazarbayev University, Kabanbay batyr ave 53, Nur-Sultan, Kazakhstan
Nazarbayev University, str. Kabanbay batyr 53, Nur-Sultan, Kazakhstan

Physics Department
Nazarbayev University

10 лет помогаем публиковать статьи Международный издатель

Книга Публикация научной статьи Волощук 2026 Book Publication of a scientific article 2026