A model of binding concepts to spoken names
2010 (English)In: Australian Journal of Intelligent Information Processing Systems, ISSN 1321-2133, Vol. 11, no 2, 1-5 p.Article in journal (Refereed) Published
Towards hardware implementation of real-time visual image processing, we propose a region-based coupled Markov Random Field (MRF) model with phases as hidden variables for coarse image region segmentation tasks. In general, two types of coupled MRF models, boundary-based and region-based, are known according to their hidden variables that play a crucial role for detecting discontinuities in intensity, color, depth and motion in image scenes. A region-based coupled MRF model with phases as hidden variables has been proposed for image restoration task. For coarse region image segmentation tasks, we customize the previous model in view of effient hardware implementation. Our model has an advantage over the resistive-fuse network, which is a boundary-based coupled MRF model, in dealing with the hidden variables explicitly. Consequently, our model can extract closed regions from given images by phases as labels at di®erent timing and act as a spatial-temporal nonlinear filter.
Place, publisher, year, edition, pages
2010. Vol. 11, no 2, 1-5 p.
Technology - Information technology
Teknikvetenskap - Informationsteknik
Research subject Industrial Electronics
IdentifiersURN: urn:nbn:se:ltu:diva-7986Local ID: 66dd2e10-07f8-11e0-b767-000ea68e967bOAI: oai:DiVA.org:ltu-7986DiVA: diva2:980876
Godkänd; 2010; 20101215 (lgus)2016-09-292016-09-29Bibliographically approved