Metadata language
Raport Badawczy = Research Report ; RB/40/2009
Creator: Publisher:Instytut Badań Systemowych. Polska Akademia Nauk ; Systems Research Institute. Polish Academy of Sciences
Place of publishing: Date issued/created: Description:18 pages ; 21 cm ; Bibliography p. 16-18
Subject and Keywords:Intuicjonistyczne zbiory rozmyte ; Intuitionistic fuzzy sets ; Possibility theory ; Teoria możliwości ; System wyszukiwania obrazów po zawartości cbir ; Obiekt graficzny ; Indeksowanie obrazów ; Klasyfikacja obrazów ; Content-based image retrieval system ; Graphical object ; Image indexing ; Image classification
Abstract: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.
Relation:Raport Badawczy = Research Report
Resource type: Detailed Resource Type: Source: Language: Language of abstract: Rights:Creative Commons Attribution BY 4.0 license
Terms of use:Copyright-protected material. [CC BY 4.0] May be used within the scope specified in Creative Commons Attribution BY 4.0 license, full text available at: ; -
Digitizing institution:Systems Research Institute of the Polish Academy of Sciences
Original in:Library of Systems Research Institute PAS
Projects co-financed by: Access: