dc.contributor.authorCheng, Jierong
dc.contributor.authorFoo, Say Wei
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.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
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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.description.versionPublished versionen_US

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