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Similarity Evaluation in Image Retrieval Using the Hough Transform

Eugenio Di Sciascio ; Politecnico di Bari, Dipartimento di Elettrotecnica ed Elettronica, Bari, Italia
Augusto Celentano ; Politecnico di Bari, Dipartimento di Elettrotecnica ed Elettronica, Bari, Italia

Fulltext: english, pdf (3 MB) pages 199-204 downloads: 88* cite
APA 6th Edition
Di Sciascio, E. & Celentano, A. (1996). Similarity Evaluation in Image Retrieval Using the Hough Transform. Journal of computing and information technology, 4 (3), 199-204. Retrieved from https://hrcak.srce.hr/150290
MLA 8th Edition
Di Sciascio, Eugenio and Augusto Celentano. "Similarity Evaluation in Image Retrieval Using the Hough Transform." Journal of computing and information technology, vol. 4, no. 3, 1996, pp. 199-204. https://hrcak.srce.hr/150290. Accessed 2 Apr. 2020.
Chicago 17th Edition
Di Sciascio, Eugenio and Augusto Celentano. "Similarity Evaluation in Image Retrieval Using the Hough Transform." Journal of computing and information technology 4, no. 3 (1996): 199-204. https://hrcak.srce.hr/150290
Harvard
Di Sciascio, E., and Celentano, A. (1996). 'Similarity Evaluation in Image Retrieval Using the Hough Transform', Journal of computing and information technology, 4(3), pp. 199-204. Available at: https://hrcak.srce.hr/150290 (Accessed 02 April 2020)
Vancouver
Di Sciascio E, Celentano A. Similarity Evaluation in Image Retrieval Using the Hough Transform. Journal of computing and information technology [Internet]. 1996 [cited 2020 April 02];4(3):199-204. Available from: https://hrcak.srce.hr/150290
IEEE
E. Di Sciascio and A. Celentano, "Similarity Evaluation in Image Retrieval Using the Hough Transform", Journal of computing and information technology, vol.4, no. 3, pp. 199-204, 1996. [Online]. Available: https://hrcak.srce.hr/150290. [Accessed: 02 April 2020]

Abstracts
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.

Keywords
image retrieval; image analysis; image databases; image transform; image similarity; image orientation

Hrčak ID: 150290

URI
https://hrcak.srce.hr/150290

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