Automatic contour extraction in images using a 2-D hidden Markov model

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Abstract

A new entirely automatic method is proposed to detect the contour of an object in low contrast medical images. The contour extraction is based on a tight cooperation between a multiresolution neural network and a hidden Markov model-enhanced dynamic procedure. Such a modelization allows to introduce relevant high order a prior/information at different stages of the extraction process. An application to the automatic detection of the left ventricle in digital X-ray images is proposed.

Original languageEnglish
Title of host publicationIEE Conference Publication
PublisherIEE
Pages455-460
Number of pages6
Edition470
ISBN (Print)0852967217, 9780852967218
DOIs
Publication statusPublished - 1 Jan 1999
EventProceedings of the 1999 the 9th International Conference on 'Artificial Neural Networks (ICANN99)' - Edinburgh, UK
Duration: 7 Sept 199910 Sept 1999

Publication series

NameIEE Conference Publication
Number470
Volume1
ISSN (Print)0537-9989

Conference

ConferenceProceedings of the 1999 the 9th International Conference on 'Artificial Neural Networks (ICANN99)'
CityEdinburgh, UK
Period7/09/9910/09/99

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