METHODS OF IMPROVING IMAGE QUALITY IN X-RAY IMAGES

Authors

  • Shovkatova Madina Bahadir kizi, Abrahmatova Asliya Azamatovna TDTU Faculty of Electronics and Automation Engineering X-ray technique and technology direction 2 - graduate students

Keywords:

X-ray beam, algorithm, iterative reconstruction, histogram calculation, image segmentation, analytical approach, clustering, pixel, contrast.

Abstract

X-ray images are images that show the state of the internal structure, bones, and tissues of the human body. Several methods are widely used to improve the quality of images. Iterative reconstruction algorithms, histogram equalization algorithms and image segmentation are used to improve image quality.

Downloads

Download data is not yet available.

References

Algorithm for improving the quality of X-ray images. Ismailov Otabek, Temirova Khosiat

Methods of improving image quality in X-ray tomography. Tursunov Daniyor Abdusalimovich, daughter of Akbaraliyeva Aykhan Avazkhan

Beister M, Colditz D, Callender WA. Iterative reconstruction methods in X-ray CT. Phys Med, 2012.

Downloads

Published

2025-12-26

How to Cite

Shovkatova Madina Bahadir kizi, Abrahmatova Asliya Azamatovna. (2025). METHODS OF IMPROVING IMAGE QUALITY IN X-RAY IMAGES. Journal of Applied Science and Social Science, 15(12), 1269–1271. Retrieved from https://www.internationaljournal.co.in/index.php/jasass/article/view/2827

Issue

Vol. 15 No. 12 (2025): Volume 15 Issue 12

Section

Articles

License

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

All content published in the Journal of Applied Science and Social Science (JASSS) is protected by copyright. Authors retain the copyright to their work, and grant JASSS the right to publish the work under a Creative Commons Attribution License (CC BY). This license allows others to distribute, remix, adapt, and build upon the work, even commercially, as long as they credit the author(s) for the original creation.