论文信息 - A relaxation method for image segmentation using a spatially dependent stochastic model

A relaxation method for image segmentation using a spatially dependent stochastic model

Abstract The use of a spatially dependent external field is introduced as an extension of more regular Markov random fields models with interaction terms only. This external field is used to model prior knowledge about the global image structure. An application to recognition of the spleen from three-dimensional X-ray CT scences is described.

Nico Karssemeijer | N. Karssemeijer

[1] Chee Sun Won,et al. A parallel image segmentation algorithm using relaxation with varying neighborhoods and its mapping to array processors , 1987, Computer Vision Graphics and Image Processing.

[2] J. Besag. Spatial Interaction and the Statistical Analysis of Lattice Systems , 1974 .

[3] E G Eijkman,et al. Recognition of organs in CT-image sequences: a model guided approach. , 1988, Computers and biomedical research, an international journal.

[4] Donald Geman,et al. Stochastic relaxation, Gibbs distributions, and the Bayesian restoration of images , 1984 .

[5] B. Ripley. Statistics, images, and pattern recognition , 1986 .

[6] J. Besag. On the Statistical Analysis of Dirty Pictures , 1986 .