In this paper we propose to extend the well known graph cut segmentation framework by learning superpixel relations and use them to weight superpixel-to-superpixel edges in a superpixel graph. Adjacent superpixel-pairs are analyzed to build an object boundary model, able to discriminate between superpixel-pairs belonging to the same object or placed on the edge between the foreground object and the background. Several superpixel-pair features are investigated and exploited to build a non-linear SVM to learn object boundary appearance. The adoption of this modified graph cut enhances the performance of a previously proposed segmentation method on two publicly available datasets, reaching state-of-the-art results.

Learning Superpixel Relations for Supervised Image Segmentation / Manfredi, Marco; Grana, Costantino; Cucchiara, Rita. - ELETTRONICO. - (2014), pp. 4437-4441. ((Intervento presentato al convegno 21st International Conference on Image Processing tenutosi a Paris, France nel Oct. 27-30 [10.1109/ICIP.2014.7025900].

Learning Superpixel Relations for Supervised Image Segmentation

MANFREDI, MARCO;GRANA, Costantino;CUCCHIARA, Rita
2014

Abstract

In this paper we propose to extend the well known graph cut segmentation framework by learning superpixel relations and use them to weight superpixel-to-superpixel edges in a superpixel graph. Adjacent superpixel-pairs are analyzed to build an object boundary model, able to discriminate between superpixel-pairs belonging to the same object or placed on the edge between the foreground object and the background. Several superpixel-pair features are investigated and exploited to build a non-linear SVM to learn object boundary appearance. The adoption of this modified graph cut enhances the performance of a previously proposed segmentation method on two publicly available datasets, reaching state-of-the-art results.
21st International Conference on Image Processing
Paris, France
Oct. 27-30
4437
4441
Manfredi, Marco; Grana, Costantino; Cucchiara, Rita
Learning Superpixel Relations for Supervised Image Segmentation / Manfredi, Marco; Grana, Costantino; Cucchiara, Rita. - ELETTRONICO. - (2014), pp. 4437-4441. ((Intervento presentato al convegno 21st International Conference on Image Processing tenutosi a Paris, France nel Oct. 27-30 [10.1109/ICIP.2014.7025900].
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/11380/1060474
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 3
  • ???jsp.display-item.citation.isi??? 2
social impact