Ghosts in Discrete Tomography

Sara Brunetti, Carla Peri, Lajos Hajdu, Paolo Dulio

Risultato della ricerca: Contributo in rivistaArticolo in rivistapeer review

7 Citazioni (Scopus)

Abstract

Switching components, also named as bad configurations, interchanges, and ghosts (according to different scenarios), play a key role in the study of ambiguous configurations, which often appear in Discrete Tomography and in several other areas of research. In this paper we give an upper bound for the minimal size bad configurations associated to a given set $$S$$S of lattice directions. In the special but interesting case of four directions, we show that the general argument can be considerably improved, and we present an algebraic method which provides such an improvement. Moreover, it turns out that finding bad configurations is in fact equivalent to finding multiples of a suitable polynomial in two variables, having only coefficients from the set $$\{-1,0,1\}$${-1,0,1}. The general problem of describing all polynomials having such multiples seems to be very hard (Borwein and Erdélyi, in Ill J Math 41(4):667–675, 1997). However, in our particular case, it is hopeful to give some kind of solution. In the context of Digital Image Analysis, it represents an explicit method for the construction of ghosts, and consequently might be of interest in image processing, also in view of efficient algorithms to encode data.
Lingua originaleEnglish
pagine (da-a)210-224
Numero di pagine15
RivistaJournal of Mathematical Imaging and Vision
Volume2015/53
DOI
Stato di pubblicazionePubblicato - 2015

Keywords

  • Bad configuration
  • Discrete tomography
  • Ghost
  • X-ray

Fingerprint

Entra nei temi di ricerca di 'Ghosts in Discrete Tomography'. Insieme formano una fingerprint unica.

Cita questo