Browsing by Author "Korkmaz,S."

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Citation Count: 0
Extended morphological covariance;
(2012) Korkmaz,S.; Aptoula,E.
Morphological covariance constitutes one of the traditional tools of mathematical morphology for texture characterization. However, with the advent of new texture analysis approaches in the last years (e. g. local binary patterns, MR8), it has been left relatively behind the state-of-the-art, in the light of the present challenges of this field, particularly illumination, rotation and scale invariant characterization. In this paper, we present a set of extensions for morphological covariance, that enhance its rotation and illumination invariance capacity. The proposed approach is tested using the Outex texture collection, where it exhibits a superior performance w.r.t the standard covariance operator. © 2012 IEEE.
Citation Count: 0
Remote sensing image retrieval using morphological texture descriptors;
(2013) Aptoula,E.; Korkmaz,S.
This paper presents the results of applying morphological texture descriptors to the problem of content-based retrieval of remote sensing images. Mathematical morphology offers a variety of multi-scale texture descriptors, capable of computing translation, rotation and illumination invariant features. In particular, we focus on the circular covariance histogram and the rotation invariant points approaches, and test them with the UC Merced Land Use dataset. They are compared against other known descriptors such as LBP and Gabor filters, and are shown to provide either comparable or superior performance despite their shorter feature vector length. © 2013 IEEE.