Visual Retrieval of Documents Based on Their Multi-Aspect Utility Assessment

• Autorzy: Kulikowski J , Przytulska M.
• Języki publikacji: EN

Abstrakty

EN

Differences between textual and visual documents retrieval problems are described. It is shown that retrieval of visual documents in experimental data bases requires assessment of image utility and taking it into consideration. A definition of multi-aspect image usefulness measure is proposed. A multi-aspect measure of similarity of images based on their quantitative and/or qualitative features is also proposed. The general concept is illustrated by examples of using morphological spectra as a source of parameters useful in the assessing similarity of some classes of biomedical images. The basic structure and properties of an Image Analysis and Selection System (IASS) are presented as an example of practical realization of the visual documents retrieval methods.

Słowa kluczowe

EN

visual documents retrieval; image utility measure; image similarity measure; morphological spectra; analysis of textures

• Wydawca: Institute of Information Technology of the Warsaw University of Life Sciences – SGGW
• Czasopismo: Machine Graphics and Vision
• Rocznik: 2010
• Tom: Vol. 19, No. 3
• Strony: 299--320
• Opis fizyczny: Bibliogr. 17 poz., il., wykr.

Twórcy

autor

Kulikowski J

autor

Przytulska M.

• M. Nalecz Institute of Biocybernetics and Biomedical Engineering PAS. 4, Ks. Trojdena Str., 02-109 Warsaw, Poland

Bibliografia

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