dc.contributor.authorCheng, Jierong
dc.contributor.authorFoo, Say Wei
dc.date.accessioned2009-07-03T03:11:55Z
dc.date.available2009-07-03T03:11:55Z
dc.date.copyright2006en_US
dc.date.issued2006
dc.identifier.citationCheng, J., & Foo, S. W. (2006). Markovian level set : a new method for boundary detection from echocardiographic images. International Conference on Acoustics, Speech, and Signal Processing 2006 (pp.1132-1135).en_US
dc.identifier.urihttp://hdl.handle.net/10220/4675
dc.description.abstractComputer-based boundary detection in Echocardiographic Images is a challenging problem, due to the large amount of noise and the poor contrast presented. In this paper, a Markovian level set method is proposed for boundary detection in long-axis echocardiographic images. It combines MRF model which makes use of local statistics with level set method which handles topological changes, to ensure that the resulting boundary is continuous and smooth. Experimental results show that high accuracy is achieved with the proposed method.en_US
dc.format.extent4 p.en_US
dc.language.isoenen_US
dc.rights© 2006 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder. http://www.ieee.org/portal/site.en_US
dc.titleMarkovian level set : a new method for boundary detection from echocardiographic imagesen_US
dc.typeConference Paper
dc.contributor.conferenceIEEE International Conference on Acoustics, Speech and Signal Processing (2006 : Toulouse, France)en_US
dc.contributor.schoolSchool of Electrical and Electronic Engineeringen_US
dc.identifier.doihttp://dx.doi.org/10.1109/ICASSP.2006.1660547
dc.description.versionPublished versionen_US


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