Title :
On the application of morphological heteroassociative neural networks
Author :
Raducanu, Bogdan ; Grana, Manuel
fDate :
6/23/1905 12:00:00 AM
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;
Conference_Titel :
Image Processing, 2001. Proceedings. 2001 International Conference on
Conference_Location :
Thessaloniki
Print_ISBN :
0-7803-6725-1
DOI :
10.1109/ICIP.2001.959063
