On the application of morphological heteroassociative neural networks

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.