Image analysis by moment invariants using a set of step-like basis functions

Domínguez Cabrerizo, Sergio (2013). Image analysis by moment invariants using a set of step-like basis functions. "Pattern Recognition Letters", v. 34 (n. 16); pp. 2065-2070. ISSN 0167-8655. https://doi.org/10.1016/j.patrec.2013.06.015.

Descripción

Título: Image analysis by moment invariants using a set of step-like basis functions
Autor/es:
  • Domínguez Cabrerizo, Sergio
Tipo de Documento: Artículo
Título de Revista/Publicación: Pattern Recognition Letters
Fecha: Diciembre 2013
Volumen: 34
Materias:
Palabras Clave Informales: Moment invariants; Zernike moments; Image retrieval; Pattern recognition
Escuela: E.T.S.I. Industriales (UPM)
Departamento: Automática, Ingeniería Electrónica e Informática Industrial [hasta 2014]
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

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Resumen

Moment invariants have been thoroughly studied and repeatedly proposed as one of the most powerful tools for 2D shape identification. In this paper a set of such descriptors is proposed, being the basis functions discontinuous in a finite number of points. The goal of using discontinuous functions is to avoid the Gibbs phenomenon, and therefore to yield a better approximation capability for discontinuous signals, as images. Moreover, the proposed set of moments allows the definition of rotation invariants, being this the other main design concern. Translation and scale invariance are achieved by means of standard image normalization. Tests are conducted to evaluate the behavior of these descriptors in noisy environments, where images are corrupted with Gaussian noise up to different SNR values. Results are compared to those obtained using Zernike moments, showing that the proposed descriptor has the same performance in image retrieval tasks in noisy environments, but demanding much less computational power for every stage in the query chain.

Más información

ID de Registro: 26161
Identificador DC: http://oa.upm.es/26161/
Identificador OAI: oai:oa.upm.es:26161
Identificador DOI: 10.1016/j.patrec.2013.06.015
URL Oficial: http://www.sciencedirect.com/science/article/pii/S0167865513002481
Depositado por: Memoria Investigacion
Depositado el: 19 Ene 2015 19:21
Ultima Modificación: 19 Ene 2015 19:21
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