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A reconfigurable architecture for real time segmentation of image sequences using self-organizing feature maps

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3 Author(s)
de Barros, M.A. ; Groupe ESIEE, Lab. de Traitement de l''Inf. et des Syst., Noisy-le-Grand, France ; Akil, M. ; Natowicz, R.

We propose an architecture for segmenting sequences of images in grey levels at video rate. This architecture implements on field programmable gate arrays an algorithm of image segmentation by self-organising feature maps. Performance and costs of the architecture are evaluated, reconfigurability of the proposed architecture is discussed.

Published in:

Neural Networks, 1993. IJCNN '93-Nagoya. Proceedings of 1993 International Joint Conference on  (Volume:1 )

Date of Conference:

25-29 Oct. 1993