Regularity of Radon Transform on a Convex Shape

Regularity of Radon Transform on a Convex Shape

Volume 7, Issue 4, Page No 121-126, 2022

Author’s Name: Pat Vatiwutiponga)

View Affiliations

Department of Mathematics and Computer Science, Kamnoetvidya Science Academy, Rayong, 21210, Thailand

a)whom correspondence should be addressed. E-mail: pat.v@kvis.ac.th

Adv. Sci. Technol. Eng. Syst. J. 7(4), 121-126 (2022); a  DOI: 10.25046/aj070416

Keywords:  Radon transform, Regularity property, Convex shape

Share

138 Downloads

Export Citations

Radon transform is a mathematical tool widely applied in various domains, including biophysics and computer tomography. Previously, it was discovered that applying the Radon transform to a binary image comprising circle forms resulted in discontinuity. As a result, the line detection approach based on it became discontinued. The d-Radon transform is a modified version of the Radon transform that is presented as a solution to this problem. The properties of the circle cause the Radon transform to be discontinuous. This work extends this finding by looking into the Radon transform’s regularity property and a proposed modification to a convex shape. We discovered that regularity in the Radon space is determined by the regularity of the shape’s point. This leads to the continuity condition for the line detection method.

Received: 18 June 2022, Accepted: 16 August 2022, Published Online: 24 August 2022

  1. P. Vatiwutipong, “Continuity of line detection methods based on the Radon transform,” in 2022 14th International Conference on Knowledge and Smart Technology (KST), 29–33, 2022, doi:10.1109/KST53302.2022.9729056.
  2. J. Radon, “On the determination of functions from their integral values along certain manifolds,” in IEEE Transactions on Medical Imaging, 170–176, 1986, doi:10.1109/TMI.1986.4307775.
  3. S. R. Deans, The Radon Transform and Some of Its Applications, Springer, 2007.
  4. S. R. Deans, “Hough Transform from the Radon Transform,” IEEE Transactions on Pattern Analysis and Machine Intelligence, 2, 185–188, 1981, doi: 10.1109/TPAMI.1981.4767076.
  5. G. T. Herman, Fundamentals of Computerized Tomography, Springer, 2009.
  6. M. C. B. M. P. A. M. M. Riccardo Aramini, Fabrice Delbary, “Hough Transform from the Radon Transform,” arXiv:1605.09201, 2016, doi:10.48550/arXiv.1605.09201.
  7. C. L. Epstein, Introduction to the Mathematics of Medical Imaging, Society for Industrial and Applied Mathematics, 2009.
  8. T. G. Feeman, The Mathematics of Medical Imaging: A Beginner’s Guide, Springer, 2015.
  9. N. S. P. Shouchuan Hu, Handbook of Multivalued Analysis 1: Theory, Springer, 1997.

Citations by Dimensions

Citations by PlumX

Google Scholar