Similarity Evaluation in Image Retrieval Using the Hough Transform

Eugenio Di Sciascio, Augusto Celentano


This work investigates the use of orientation features, computed using the Hough transform, as a criterion for image similarity evaluation in content based picture retrieval. The context of this work is the management of thematic catalogues, in which coherence in the meaning of the image contents can be relied upon to a certain degree. The vector space model, a well-assessed technique in textual information retrieval, is utilized for the retrieval model.


image retrieval, image analysis, image databases, image transform, image similarity, image orientation

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This work is licensed under a Creative Commons Attribution-NoDerivatives 4.0 International License.

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