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Communication Dans Un Congrès Année : 1999

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

Résumé

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 priori 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.
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Dates et versions

hal-01574992 , version 1 (17-08-2017)

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Citer

Olivier Gérard, Florence d'Alché-Buc, Sherif Makram-Ebeid, Patrick Gallinari, Thierry Artières. Automatic contour extraction in images using a 2-D hidden Markov model. ICANN'99 - 9th International Conference on Artificial Neural Networks, Sep 1999, Edinburgh, United Kingdom. pp.455-460, ⟨10.1049/cp:19991151⟩. ⟨hal-01574992⟩
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