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.

Description

Title: Image analysis by moment invariants using a set of step-like basis functions
Author/s:
  • Domínguez Cabrerizo, Sergio
Item Type: Article
Título de Revista/Publicación: Pattern Recognition Letters
Date: December 2013
ISSN: 0167-8655
Volume: 34
Subjects:
Freetext Keywords: Moment invariants; Zernike moments; Image retrieval; Pattern recognition
Faculty: E.T.S.I. Industriales (UPM)
Department: Automática, Ingeniería Electrónica e Informática Industrial [hasta 2014]
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

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.

More information

Item ID: 26161
DC Identifier: http://oa.upm.es/26161/
OAI Identifier: oai:oa.upm.es:26161
DOI: 10.1016/j.patrec.2013.06.015
Official URL: http://www.sciencedirect.com/science/article/pii/S0167865513002481
Deposited by: Memoria Investigacion
Deposited on: 19 Jan 2015 19:21
Last Modified: 19 Jan 2015 19:21
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