Advanced search
Advanced search
Advanced search
Advanced search
Advanced search
Raport Badawczy = Research Report ; RB/40/2009
Instytut Badań Systemowych. Polska Akademia Nauk ; Systems Research Institute. Polish Academy of Sciences
18 stron ; 21 cm ; Bibliografia s. 16-18
This article introduces the imprecision approach to high-level graphical object interpretation. It presents a step towards soft computing which supports the implementation of a content-based image retrieval (CBIR) system dealing with graphical object classification. Some crucial aspects of CBIR are presented here to illustrate the problems that we are now struggling with. The main motivation of these researches is to provide effective and efficient means for the semantic interpretation of graphical objects. The paper shows how the traditional feature vector method extends to match graphical objects, difficult to classify, by applying intuitionistic fuzzy sets and possibility theory. Cases are considered where both the classification of objects and their extraction are modeled using fuzzy set extensions.
Raport Badawczy = Research Report
Licencja Creative Commons Uznanie autorstwa 4.0
Zasób chroniony prawem autorskim. [CC BY 4.0 Międzynarodowe] Korzystanie dozwolone zgodnie z licencją Creative Commons Uznanie autorstwa 4.0, której pełne postanowienia dostępne są pod adresem: ; -
Instytut Badań Systemowych Polskiej Akademii Nauk
Biblioteka Instytutu Badań Systemowych PAN
Oct 19, 2021
Jan 16, 2020
44
https://rcin.org.pl./publication/114495
Jaworska, Tatiana (1966– )
Szmidt, Eulalia Kacprzyk, Janusz (1947– )
Szmidt, Eulalia Kukier, Marta
Szmidt, Eulalia Kacprzyk, Janusz (1947– )
Grzegorzewski, Przemysław (1963– ) Mrówka, Edyta