Intensity-based image registration using multiple distributed agents.

De Montfort University Open Research Archive

Show simple item record

dc.contributor.author Hopgood, Adrian A. en
dc.contributor.author Schaefer, G. en
dc.contributor.author Tait, R. J. en
dc.date.accessioned 2008-11-24T13:24:19Z
dc.date.available 2008-11-24T13:24:19Z
dc.date.issued 2007-12-01 en
dc.identifier.citation Hopgood, A.A., Schaefer, G. and Tait, R.J. (2007) Intensity-based image registration using multiple distributed agents. Proceedings of AI-2007 of the Twenty-seventh SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence, pp.147-160.
dc.identifier.isbn 978-1-84800-085-8 en
dc.identifier.uri http://hdl.handle.net/2086/204
dc.description This paper brings Hopgood's previous development of a distributed blackboard architecture to the computationally demanding application of image registration. Parallelisation is achieved by knowledge sources organised in a novel worker/manager model. The success of the approach is demonstrated in visual defect detection for quality assurance, and is now being applied to multimodal medical imaging, published elsewhere. The paper has won a Recognised Paper award at AI-2007 and will appear in a special issue of the Knowledge Based Systems journal in 2008. Knowledge-Based Systems, 21 (3), pp. 256-264. en
dc.language.iso en en
dc.subject RAE 2008
dc.subject UoA 23 Computer Science and Informatics
dc.title Intensity-based image registration using multiple distributed agents. en
dc.type Other en
dc.researchgroup Centre for Computational Intelligence


Files in this item

This item appears in the following Collection(s)

Show simple item record