Similarity evaluation in image retrieval using the Hough transform
Eugenio Di Sciascio, Augusto Celentano · 2015
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 the 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. Introduction Current technology allows the acquisition, transmission, storing, and manipulation of large collections of images. Yet systems for their classification and retrieval still rely heavily on textual descriptions associated to images. Recently a number of methodologies, techniques and tools have been studied for identification and comparison of images features in order to develop classification and retrieval systems based on (almost) automatic interpretation of image contents [1-4]. This work focuses on the use of orient...