DocumentCode :
2594055
Title :
A new interactive pattern recognition approach by multilayer neural networks and mathematical morphology
Author :
Daoudi, Mohamed ; Benslimane, Rachid ; Hamad, Denis ; Postaire, Jack-Gerard
Author_Institution :
Centre d´´Autom., Univ. des Sci. et Tech. de Lille Flandres Artois, Villeneuve d´´Ascq, France
fYear :
1993
fDate :
17-20 Oct 1993
Firstpage :
125
Abstract :
We describe an online interactive graphic system which has been designed to separate a set of multidimensional multivariate observations into groups or clusters. A neural network allows one to map the data onto a two dimensional display. We propose a new clustering approach based on the so called “watershed” algorithm which takes advantage of the two dimensional display
Keywords :
feedforward neural nets; interactive systems; mathematical morphology; multilayer perceptrons; pattern classification; clustering approach; interactive pattern recognition approach; mathematical morphology; multidimensional multivariate observations; multilayer neural networks; online interactive graphic system; two dimensional display; watershed algorithm; Clustering algorithms; Graphics; Humans; Morphology; Multi-layer neural network; Multidimensional systems; Neural networks; Pattern classification; Pattern recognition; Two dimensional displays;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems, Man and Cybernetics, 1993. 'Systems Engineering in the Service of Humans', Conference Proceedings., International Conference on
Conference_Location :
Le Touquet
Print_ISBN :
0-7803-0911-1
Type :
conf
DOI :
10.1109/ICSMC.1993.390695
Filename :
390695
Link To Document :
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