DocumentCode
350295
Title
Analysis and synthesis of three-dimensional Gaussian Markov random fields
Author
Ranguelova, E. ; Quinn, A.
Author_Institution
Dept. of Electron. & Electr. Eng., Dublin Univ., Ireland
Volume
3
fYear
1999
fDate
1999
Firstpage
430
Abstract
A method for synthesis of 3-D Gaussian Markov random fields (GMRF) is presented. Following this, a scheme for the estimation of the parameters of the model using the method of least squares (LS) and several fast techniques for segmentation of volumetric imaging are outlined. The superior performance of the 3-D analysis algorithms over 2-D processing slice by slice is shown using both synthetic textured images and real brain magnetic resonance (MR) images
Keywords
Gaussian processes; Markov processes; biomedical MRI; least squares approximations; parameter estimation; performance evaluation; 3D Gaussian Markov random fields; least squares method; parameters estimation; performance; real brain magnetic resonance images; volumetric imaging segmentation; Algorithm design and analysis; Image analysis; Image segmentation; Image texture analysis; Least squares approximation; Magnetic analysis; Magnetic resonance imaging; Markov random fields; Parameter estimation; Performance analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing, 1999. ICIP 99. Proceedings. 1999 International Conference on
Conference_Location
Kobe
Print_ISBN
0-7803-5467-2
Type
conf
DOI
10.1109/ICIP.1999.817150
Filename
817150
Link To Document