DocumentCode
1748905
Title
Some applications of morphological neural networks
Author
Graña, Manuel ; Raducanu, Bogdan
Author_Institution
Dept. CCIA, Basque Country Univ., San Sebastian, Spain
Volume
4
fYear
2001
fDate
2001
Firstpage
2518
Abstract
The heteroassociative morphological memories are a recently proposed neural network architecture based on the shift of the basic algebraic framework. They possess some robustness to specific noise models (erosive and dilative noise). Here we report on going work on their application to the tasks of face localization in grayscale images and visual self-localization of a mobile robot
Keywords
content-addressable storage; image recognition; mathematical morphology; neural nets; noise; algebraic framework; dilative noise; erosive noise; face localization; grayscale images; heteroassociative morphological memories; mobile robot; morphological neural networks; neural network architecture; noise model robustness; visual self-localization; Associative memory; Electronic mail; Face detection; Gray-scale; Hidden Markov models; Kernel; Mobile robots; Neural networks; Noise robustness; Principal component analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 2001. Proceedings. IJCNN '01. International Joint Conference on
Conference_Location
Washington, DC
ISSN
1098-7576
Print_ISBN
0-7803-7044-9
Type
conf
DOI
10.1109/IJCNN.2001.938763
Filename
938763
Link To Document