DocumentCode
351031
Title
Automatic contour extraction in images using a 2-D hidden Markov model
Author
Gérard, O. ; Alché-Buc, F.D. ; Makram-Ebeid, S. ; Gallinari, P. ; Artiéres, T.
Author_Institution
Lab. d´´Inf., Univ. Pierre et Marie Curie, Paris, France
Volume
1
fYear
1999
fDate
1999
Firstpage
455
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 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
Keywords
medical image processing; 2D hidden Markov model; automatic contour extraction; digital X-ray images; hidden Markov model-enhanced dynamic procedure; high-order a priori information; left ventricle detection; low-contrast medical images; multiresolution neural network; object contour detection;
fLanguage
English
Publisher
iet
Conference_Titel
Artificial Neural Networks, 1999. ICANN 99. Ninth International Conference on (Conf. Publ. No. 470)
Conference_Location
Edinburgh
ISSN
0537-9989
Print_ISBN
0-85296-721-7
Type
conf
DOI
10.1049/cp:19991151
Filename
819763
Link To Document