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Multi-level Image Classification Using Fuzzy Petri Net (CROSBI ID 610262)

Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija

Ivašić-Kos, Marina ; Ribarić, Slobodan ; Ipšić, Ivo Multi-level Image Classification Using Fuzzy Petri Net // Recent Advances in Neural Networks and Fuzzy Systems, Proceedings of the 2014 International Conference on Neural Networks - Fuzzy Systems (NN- FS '14) / Prof. Yingxu Wang, Prof. Pierre Borne (ur.). Venecija: Europment, 2014. str. 39-45

Podaci o odgovornosti

Ivašić-Kos, Marina ; Ribarić, Slobodan ; Ipšić, Ivo

engleski

Multi-level Image Classification Using Fuzzy Petri Net

For a multi-level image classification, a knowledge representation scheme based on Fuzzy Petri Net with fuzzy inference algorithms is used. A simple graphical Petri net notation and a well defined semantics displaying the process of reasoning through inference trees are used for visualization of the knowledge base and explanations of derived conclusion. Used knowledge representation formalism has the ability to show a probability of concepts and relations. The procedures of image multi-level classification using fuzzy recognition and inheritance algorithms on a knowledge representation scheme, as well as experimental results of image semantic interpretation, are presented.

Fuzzy Petri Net; Image Classification; Knowledge Representation

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Podaci o prilogu

39-45.

2014.

objavljeno

Podaci o matičnoj publikaciji

Recent Advances in Neural Networks and Fuzzy Systems, Proceedings of the 2014 International Conference on Neural Networks - Fuzzy Systems (NN- FS '14)

Prof. Yingxu Wang, Prof. Pierre Borne

Venecija: Europment

978-1-61804-227-9

Podaci o skupu

International Conference on Neural Networks - Fuzzy Systems (NN-FS '14)

predavanje

15.03.2014-17.03.2014

Venecija, Italija

Povezanost rada

Računarstvo, Informacijske i komunikacijske znanosti