DocumentCode
3484298
Title
Combining fuzzy ART network clustering and sparse code shrinkage for image segmentation
Author
Oliveira, Patricia R. ; Vicentini, José F. ; Romero, Roseli A F
Author_Institution
ICMC, Univ. de Sao Paulo, Sao Carlos, Brazil
Volume
5
fYear
2002
fDate
18-22 Nov. 2002
Firstpage
2435
Abstract
An autonomous segmentation process is one of the most difficult tasks of a visual system. Among the main aspects that can affect the results of this process is the presence of noise. In this paper, it is showed how a technique for denoising images can be combined with the Fuzzy ART clustering for improving the image segmentation results. A mobile robot application is used for testing the efficiency of the proposed combination.
Keywords
ART neural nets; fuzzy neural nets; image denoising; image segmentation; independent component analysis; mobile robots; robot vision; autonomous segmentation; fuzzy ART network clustering; image denoising; image segmentation; independent component analysis; mobile robot application; sparse code shrinkage; Backpropagation algorithms; Fuzzy neural networks; Fuzzy systems; Image segmentation; Independent component analysis; Information processing; Noise reduction; Roads; Robots; Subspace constraints;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Information Processing, 2002. ICONIP '02. Proceedings of the 9th International Conference on
Print_ISBN
981-04-7524-1
Type
conf
DOI
10.1109/ICONIP.2002.1201931
Filename
1201931
Link To Document