Browsing by Author "Aptoula,E."

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    Citation - Scopus: 19
    Bag of morphological words for content-based geographical retrieval
    (IEEE Computer Society, 2014) Aptoula,E.
    Placed in the context of geographical content-based image retrieval, in this paper we explore the description potential of morphological texture descriptors when combined with the popular bag-of-visual-words paradigm. In particular, we adapt existing global morphological texture descriptors, so that they are computed within local sub-windows and then form a vocabulary of 'visual morphological words' through clustering. The resulting image features, are thus visual word histograms and are evaluated using the UC Merced Land Use-Land Cover dataset. Moreover, the local approach under study is compared against alternative global and local descriptors across a variety of settings. Despite being one of the initial attempts at localized morphological content description, the retrieval scores indicate that vocabulary based morphological content description possesses a significant discriminatory potential. © 2014 IEEE.