Binary image reconstruction from two projections and skeletal information

Norbert Hantos, Péter Balázs, Kálmán Palágyi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Citations (Scopus)

Abstract

In binary tomography, the goal is to reconstruct binary images from a small set of their projections. However, especially when only two projections are used, the task can be extremely underdetermined. In this paper, we show how to reduce ambiguity by using the morphological skeleton of the image as a priori. Three different variants of our method based on Simulated Annealing are tested using artificial binary images, and compared by reconstruction time and error.

Original languageEnglish
Title of host publicationCombinatorial Image Analysis - 15th International Workshop, IWCIA 2012, Proceedings
Pages263-273
Number of pages11
DOIs
Publication statusPublished - Nov 30 2012
Event15th International Workshop on Combinatorial Image Analysis, IWCIA 2012 - Austin, TX, United States
Duration: Nov 28 2012Nov 30 2012

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7655 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other15th International Workshop on Combinatorial Image Analysis, IWCIA 2012
CountryUnited States
CityAustin, TX
Period11/28/1211/30/12

Keywords

  • Binary tomography
  • Morphological skeleton
  • Reconstruction
  • Simulated annealing

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Hantos, N., Balázs, P., & Palágyi, K. (2012). Binary image reconstruction from two projections and skeletal information. In Combinatorial Image Analysis - 15th International Workshop, IWCIA 2012, Proceedings (pp. 263-273). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7655 LNCS). https://doi.org/10.1007/978-3-642-34732-0_20