DocumentCode
1694013
Title
On the application of morphological heteroassociative neural networks
Author
Raducanu, Bogdan ; Grana, Manuel
Volume
1
fYear
2001
fDate
6/23/1905 12:00:00 AM
Firstpage
501
Abstract
Morphological neural networks (MNN) have been proposed as an alternative neural computation paradigm. We explore the potential of heteroassociative MNN (HMNN) for a practical task, such as that of robust scene recognition. Scene recognition could be of use for self-localization in a vision-based navigation framework for mobile robots. HMNN have a big potential for real time application because its recall process is very fast. We present some experimental results that illustrate our ideas
Keywords
content-addressable storage; image recognition; mathematical morphology; mobile robots; navigation; neural nets; associative memories; heteroassociative neural networks; mobile robots; morphological neural networks; scene recognition; self-localization; vision-based navigation; Computer networks; Electronic mail; Kernel; Layout; Multi-layer neural network; Navigation; Neural networks; Robots; Robustness; State estimation;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing, 2001. Proceedings. 2001 International Conference on
Conference_Location
Thessaloniki
Print_ISBN
0-7803-6725-1
Type
conf
DOI
10.1109/ICIP.2001.959063
Filename
959063
Link To Document