In content-based image retrieval a major problem is the presence of noisy shapes. Noise can present itself not only in the form of continuous deformations, but also as topological changes. It is well known that persistent Betti numbers are a shape descriptor that admits dissimilarity distances stable under continuous shape deformations. In this paper we focus on the problem of dealing with noise that alters the topology of the studied objects. We present a general method to turn persistent Betti numbers into stable descriptors also in the presence of topological changes. Retrieval tests on the Kimia-99 database show the effectiveness of the method.

Persistent Betti numbers for a noise tolerant shape-based approach to image retrieval / P., Frosini; Landi, Claudia. - In: PATTERN RECOGNITION LETTERS. - ISSN 0167-8655. - STAMPA. - 34:(2013), pp. 863-872. [10.1016/j.patrec.2012.10.015]

Persistent Betti numbers for a noise tolerant shape-based approach to image retrieval

LANDI, Claudia
2013

Abstract

In content-based image retrieval a major problem is the presence of noisy shapes. Noise can present itself not only in the form of continuous deformations, but also as topological changes. It is well known that persistent Betti numbers are a shape descriptor that admits dissimilarity distances stable under continuous shape deformations. In this paper we focus on the problem of dealing with noise that alters the topology of the studied objects. We present a general method to turn persistent Betti numbers into stable descriptors also in the presence of topological changes. Retrieval tests on the Kimia-99 database show the effectiveness of the method.
34
863
872
Persistent Betti numbers for a noise tolerant shape-based approach to image retrieval / P., Frosini; Landi, Claudia. - In: PATTERN RECOGNITION LETTERS. - ISSN 0167-8655. - STAMPA. - 34:(2013), pp. 863-872. [10.1016/j.patrec.2012.10.015]
P., Frosini; Landi, Claudia
File in questo prodotto:
File Dimensione Formato  
PRL_NoisyDomains.pdf

non disponibili

Tipologia: Post-print dell'autore (bozza post referaggio)
Dimensione 587.98 kB
Formato Adobe PDF
587.98 kB Adobe PDF   Visualizza/Apri   Richiedi una copia
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: https://hdl.handle.net/11380/833103
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 32
  • ???jsp.display-item.citation.isi??? 27
social impact