Multi-level Image Classification Using Fuzzy Petri Net (CROSBI ID 610262)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
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