We propose a new efficient approach for neighborhood exploration, optimized with decision tables and decision trees, suitable for local algorithms in image processing. In this work, it is employed to speed up two widely used thinning techniques. The performance gain is shown over a large freely available dataset of scanned document images.

Decision Trees for Fast Thinning Algorithms / Grana, Costantino; Borghesani, Daniele; Cucchiara, Rita. - STAMPA. - (2010), pp. 2836-2839. ((Intervento presentato al convegno 20th International Conference on Pattern Recognition tenutosi a Istanbul, Turkey nel Aug 23-27 [10.1109/ICPR.2010.695].

Decision Trees for Fast Thinning Algorithms

GRANA, Costantino;BORGHESANI, Daniele;CUCCHIARA, Rita
2010

Abstract

We propose a new efficient approach for neighborhood exploration, optimized with decision tables and decision trees, suitable for local algorithms in image processing. In this work, it is employed to speed up two widely used thinning techniques. The performance gain is shown over a large freely available dataset of scanned document images.
20th International Conference on Pattern Recognition
Istanbul, Turkey
Aug 23-27
2836
2839
Grana, Costantino; Borghesani, Daniele; Cucchiara, Rita
Decision Trees for Fast Thinning Algorithms / Grana, Costantino; Borghesani, Daniele; Cucchiara, Rita. - STAMPA. - (2010), pp. 2836-2839. ((Intervento presentato al convegno 20th International Conference on Pattern Recognition tenutosi a Istanbul, Turkey nel Aug 23-27 [10.1109/ICPR.2010.695].
File in questo prodotto:
Non ci sono file associati a questo prodotto.
Pubblicazioni consigliate

Caricamento pubblicazioni consigliate

Licenza Creative Commons
I metadati presenti in IRIS UNIMORE sono rilasciati con licenza Creative Commons CC0 1.0 Universal, mentre i file delle pubblicazioni sono rilasciati con licenza Attribuzione 4.0 Internazionale (CC BY 4.0), salvo diversa indicazione.
In caso di violazione di copyright, contattare Supporto Iris

Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11380/640470
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 7
  • ???jsp.display-item.citation.isi??? ND
social impact