The complexity of multimedia contents is significantly increasing in the current digital world.
This yields an exigent demand for develo** highly effective retrieval systems to satisfy …

Abstract The Local Binary Pattern (LBP) operator and its variants play an important role as
the image feature extractor in the textural image retrieval and classification. The LBP-based …

In this paper, structure elements' descriptor (SED)–a novel texture descriptor, is proposed.
SED can effectively describe images and represent image local features. Moreover, SED …

This paper presents a technique for content-based image retrieval (CBIR) by exploiting the
advantage of low-complexity ordered-dither block truncation coding (ODBTC) for the …

Color texture retrieval is a hot research area in image analysis. In this paper, we propose an
efficient color texture retrieval method by using copula model based on Gabor wavelets …

In the framework of texture image retrieval, a new family of stochastic multivariate modeling
is proposed based on Gaussian Copula and wavelet decompositions. We take advantage of …

In this work, various wavelet based methods like the discrete wavelet transform, the dual-
tree complex wavelet transform, the Gabor wavelet transform, curvelets, contourlets and …

In this paper, we investigate a novel joint statistical model for subband coefficient
magnitudes of the dual-tree complex wavelet transform, which is then coupled to a Bayesian …

In this letter, we present a novel generic approach for radar automatic target recognition in
either inverse synthetic aperture radar (ISAR) or synthetic aperture radar (SAR) images. For …

Low resolution, difficult illumination and noise are the important factors that affect the
performance of face recognition system. In order to counteract these adverse factors, in this …