Texture retrieval using ordinal co-occurrence features
Mari Partio, Bogdan Cramariuc, Moncef Gabbouj · 2004
Due to variations in illumination conditions in texture evaluation applications, gray scale invariance is an important property in texture similarity evaluation. Using the order of the gray values instead of the gray values themselves is shown to improve the retrieval accuracy. Ordinal measures have been used for many image processing tasks in the literature. In this paper, we propose a novel combination of ordinal measures and cooccurrence matrices using local thresholding. Features constructed in this paper represent the occurrence frequency of certain ordinal relationships at different distances and orientations. The proposed method gives encouraging results when comparing its retrieval performance to that of the rotation invariant local binary pattern approach and traditional gray level cooccurrence matrices. 1.