Title :
Stochastic segmentation of ultrasound images
Author :
Herlin, I.L. ; Nguyen, C. ; Graffigne, C.
Author_Institution :
INRIA, Rocquencourt, France
fDate :
30 Aug-3 Sep 1992
Abstract :
Presents a Markov random field model designed to construct a segmentation of echocardiographic images from an initial segmentation. An iterative procedure for estimating the model parameters is described and results are presented for a sequence of cardiac images in order to segment cardiac cavities
Keywords :
Markov processes; acoustic imaging; biomedical ultrasonics; cardiology; image processing; iterative methods; parameter estimation; Markov random field model; cardiac cavities; cardiac images; echocardiographic images; parameter estimation; picture processing; segmentation; ultrasound images; Detection algorithms; Filtering; Image segmentation; Markov random fields; Mathematical model; Parameter estimation; Stochastic processes; Ultrasonic imaging;
Conference_Titel :
Pattern Recognition, 1992. Vol.I. Conference A: Computer Vision and Applications, Proceedings., 11th IAPR International Conference on
Conference_Location :
The Hague
Print_ISBN :
0-8186-2910-X
DOI :
10.1109/ICPR.1992.201560
