Title :
Automatic design of W-operators using LVQ - application to morphological image segmentation
Author :
Flores, Franklin César ; Peres, Sarajane Marques ; Von Zuben, Fernando José
Author_Institution :
Dept. of Comput. Eng. & Ind. Autom., State Univ. of Campinas, Sao Paulo, Brazil
fDate :
6/24/1905 12:00:00 AM
Abstract :
W-operators compose a family of translation invariant and locally defined operators. This work proposes a new approach to an automatic design of W-operators using learning vector quantization neural networks. It is also presented here some experimental results associated with the application of these operators in morphological image segmentation
Keywords :
image segmentation; learning (artificial intelligence); mathematical morphology; neural nets; vector quantisation; LVQ neural networks; W-operators; image segmentation; learning; learning vector quantization; morphological operators; watershed with markers; Apertures; Application software; Automation; Computer industry; Decision trees; Design optimization; Filtering; Image segmentation; Neural networks; Pattern recognition;
Conference_Titel :
Neural Networks, 2002. IJCNN '02. Proceedings of the 2002 International Joint Conference on
Conference_Location :
Honolulu, HI
Print_ISBN :
0-7803-7278-6
DOI :
10.1109/IJCNN.2002.1005568
