Adaptive kernels for morphological heteroassociative neural networks

Manuel Grana Romay; Bogdan Raducanu

doi:10.1117/12.420934

4 April 2001 Adaptive kernels for morphological heteroassociative neural networks

Manuel Grana Romay, Bogdan Raducanu

Proceedings Volume 4305, Applications of Artificial Neural Networks in Image Processing VI; (2001) https://doi.org/10.1117/12.420934
Event: Photonics West 2001 - Electronic Imaging, 2001, San Jose, CA, United States

Abstract

Morphological Neural Networks (MNN) have been proposed as an alternative neural computation paradigm. In this paper we explore the potential of Heteroassociative MNN (HMNN) for a vision based practical task, that of 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 the proposed approach.

Citation Download Citation

Manuel Grana Romay and Bogdan Raducanu "Adaptive kernels for morphological heteroassociative neural networks", Proc. SPIE 4305, Applications of Artificial Neural Networks in Image Processing VI, (4 April 2001); https://doi.org/10.1117/12.420934

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