Title: Content frequency and shape features based on CBIR: application to colour images

Authors: Chawki Youness; El Asnaoui Khalid; Ouanan Mohammed; Aksasse Brahim

Addresses: Faculty of Science and Techniques, M2I Laboratory, ASIA Team, Department of Computer Sciences, Moulay Ismail University, BP 509 Boutalamine, Errachidia, Morocco ' Faculty of Science and Techniques, M2I Laboratory, ASIA Team, Department of Computer Sciences, Moulay Ismail University, BP 509 Boutalamine, Errachidia, Morocco ' Faculty of Science and Techniques, M2I Laboratory, ASIA Team, Department of Computer Sciences, Moulay Ismail University, BP 509 Boutalamine, Errachidia, Morocco ' Faculty of Science and Techniques, M2I Laboratory, ASIA Team, Department of Computer Sciences, Moulay Ismail University, BP 509 Boutalamine, Errachidia, Morocco

Abstract: Due to the diversity of the image content, we propose in this study a new technique for content-based image retrieval to characterise the image. In this scenario, all images are characterised by their frequency content and their shape information. Indeed, using the high-resolution spectral analysis methods, especially the 2-D estimation of signal parameters via rotational invariance techniques, we extract from the image its content frequency and with the angular radial transform its shape information to construct a new vector descriptor. The experimental results applied to the Coil_100 database show the effectiveness and the robustness of our approach compared with the method based on the shame information only, and the precision average can be reached as 74.49%.

Keywords: ART; CBIR; 2-D ESPRIT; frequency content; high resolution; shape feature; spectral analysis.

DOI: 10.1504/IJDSDE.2018.089103

International Journal of Dynamical Systems and Differential Equations, 2018 Vol.8 No.1/2, pp.123 - 135

Received: 26 Oct 2016
Accepted: 02 Aug 2017
Published online: 05 Jan 2018 *

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