Title :
Two levels similarity modelling: A co-clustering approach for image classification
Author :
Djouak, Amar ; Maaref, Hichem
Author_Institution :
Agric. high Inst. (ISA) (Comput. Sci. & Stat. Lab.), Catholic Lille Univ., Lille
Abstract :
In this work, we introduced a new co-clustering based approach in content based image classification field: the two levels similarity modelling (TLSM) concept. This approach is based on a new images similarity formulation using obtained co-clusters and a wave effect which changes similarity correlations. The obtained results show a real improvement of image recognition accuracy in comparison with obtained accuracy using one of classical co-clustering systems.
Keywords :
content-based retrieval; correlation methods; image classification; image retrieval; pattern clustering; co-clustering approach; content-based image classification; content-based image retrieval; similarity correlation; two level similarity modelling; Image classification; co-clustering; image classification; similarity correlations;
Conference_Titel :
Systems, Signals and Devices, 2009. SSD '09. 6th International Multi-Conference on
Conference_Location :
Djerba
Print_ISBN :
978-1-4244-4345-1
Electronic_ISBN :
978-1-4244-4346-8
DOI :
10.1109/SSD.2009.4956685