Object

Title: Classification Problem in CBIR

Creator:

Jaworska, Tatiana. Autor

Date issued/created:

2012

Resource type:

Tekst

Subtitle:

Raport Badawczy = Research Report ; RB/39/2012

Publisher:

Instytut Badań Systemowych. Polska Akademia Nauk ; Systems Research Institute. Polish Academy of Sciences

Place of publishing:

Warszawa

Description:

16 pages ; 21 cm ; Bibliography p. 13-14

Abstract:

At present a great deal of research is being done in different aspects of Content-Based Image Retrieval (CBIR). Image classification is one of the most important tasks in image retrieval that must be dealt with. The primary issue we have addressed is: how can the fuzzy set theory be used to handle crisp image data. We propose fuzzy rule­based classification of image objects. To achieve this goal we have built fuzzy rule­based classifiers for crisp data. In this paper we present the results of fuzzy rule-based classification in our CBIR. Furthermore, these results are used to construct a search engine taking into account data mining.

Relation:

Raport Badawczy = Research Report

Detailed Resource Type:

Report

Resource Identifier:

oai:rcin.org.pl:104529

Source:

RB-2012-39

Language:

eng

Language of abstract:

eng

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:

Operational Program Digital Poland, 2014-2020, Measure 2.3: Digital accessibility and usefulness of public sector information; funds from the European Regional Development Fund and national co-financing from the state budget.

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