Szczegóły publikacji
Opis bibliograficzny
The influence of bit-depth reduction on correlation of texture features with a patient’s age / Patrycja Mazur // W: Progress in image processing, pattern recognition and communication systems : proceedings of the conference (CORES, IP&C, ACS) – June 28–30 2021 / eds. Michal Choraś, [et al.]. — Cham : Springer Nature Switzerland, cop. 2022. — (Lecture Notes in Networks and Systems ; ISSN 2367-3370 ; vol. 255). — ISBN: 978-3-030-81522-6; e-ISBN: 978-3-030-81523-3. — S. 191–198. — Bibliogr., Abstr. — Publikacja dostępna online od: 2021-08-18
Autor
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 136488 |
|---|---|
| Data dodania do BaDAP | 2021-09-29 |
| DOI | 10.1007/978-3-030-81523-3_19 |
| Rok publikacji | 2022 |
| Typ publikacji | materiały konferencyjne (aut.) |
| Otwarty dostęp |  |
| Wydawca | Springer |
| Czasopismo/seria | Lecture Notes in Networks and Systems |
Abstract
As we age, irreversible changes occur in the human spine. This process is affected not only by aging but also by diseases, lifestyle and genetics. The relationship between a patient’s age and bone condition can be valuable diagnostic information. This is made possible by texture analysis, which provides information about the structure and properties of imaged tissue; however, it depends on many factors, such as image format or image noise. The aim of this work was to test whether the analyzed textures are also sensitive to image quantization. To achieve this, 183 cervical spine radiographs were analyzed to extract features that correlate with patients’ age. The research made it possible to distinguish features that are or are not sensitive to bit-depth reduction. Moreover, significantly lower correlation values of texture features with age were observed for X-rays of female patients than for those of males.
