Bell, Z.,
A Bayesian/Monte Carlo Segmentation Method for Images
Dominated by Gaussian Noise,
PAMI(11), No. 9, September 1989, pp. 985-990.
IEEE DOI
BibRef
8909
Goutsias, J., and
Mendel, J.M.,
Simultaneous Optimal
Segmentation and Model Estimation of Nonstationary Noisy Images,
PAMI(11), No. 9, September 1989, pp. 990-998.
IEEE DOI
BibRef
8909
Wang, T.[Tao],
Zhuang, X.H.[Xin-Hua],
Xing, X.L.[Xiao-Liang],
Robust and Adaptive Segmentation of Noisy Images Using
Gibbs Random Field Models,
PRAI(6), 1992, pp. 753-775.
BibRef
9200
And:
The use of Gibbs random fields for image segmentation,
ICPR92(III:57-60).
IEEE DOI
9208
BibRef
Wang, T.[Tao],
Zhuang, X.H.[Xin-Hua],
Xing, X.L.[Xiao-Liang],
Robust Segmentation of Noisy Images Using a Neural Network Model,
IVC(10), No. 4, May 1992, pp. 233-240.
Elsevier DOI
BibRef
9205
Spann, M.,
Grace, A.E.,
Adaptive Segmentation of Noisy and Textured Images,
PR(27), No. 12, December 1994, pp. 1717-1733.
Elsevier DOI
BibRef
9412
Murino, V.[Vittorio],
Ottonello, C.[Cinthya],
Pagnan, S.[Sergio],
Noisy Texture Classification: A Higher Order Statistics Approach,
PR(31), No. 4, April 1998, pp. 383-393.
Elsevier DOI
9803
BibRef
Chakraborty, A.[Amit],
Duncan, J.S.[James S.],
Game-Theoretic Integration for Image Segmentation,
PAMI(21), No. 1, January 1999, pp. 12-30.
IEEE DOI Integrate edge based and region based approaches.
Applied to MR images, with their kinds of noise.
BibRef
9901
Chesnaud, C.[Christophe],
Réfrégier, P.[Philippe],
Boulet, V.[Vlady],
Statistical Region Snake-Based Segmentation Adapted to Different
Physical Noise Models,
PAMI(21), No. 11, November 1999, pp. 1145-1157.
IEEE DOI
9912
Region snakes, not edge snakes, base on statistics of the region
inside and outside the snake.
The examples seem to show extraction with very low contrasts.
BibRef
Gilles, J.[Jérôme],
Noisy Image Decomposition: A New Structure, Texture and Noise Model
Based on Local Adaptivity,
JMIV(28), No. 3, July 2007, pp. 285-295.
Springer DOI
0709
BibRef
Despotovic, I.,
Vansteenkiste, E.,
Philips, W.,
Spatially Coherent Fuzzy Clustering for Accurate and Noise-Robust Image
Segmentation,
SPLetters(20), No. 4, April 2013, pp. 295-298.
IEEE DOI
1303
BibRef
Despotovic, I.[Ivana],
Jelaca, V.[Vedran],
Vansteenkiste, E.[Ewout],
Philips, W.[Wilfried],
Noise-Robust Method for Image Segmentation,
ACIVS10(I: 153-162).
Springer DOI
1012
BibRef
Despotovic, I.[Ivana],
Goossens, B.[Bart],
Vansteenkiste, E.[Ewout],
Philips, W.[Wilfried],
An improved fuzzy clustering approach for image segmentation,
ICIP10(249-252).
IEEE DOI
1009
BibRef
Chapter on 2-D Region Segmentation Techniques, Snakes, Active Contours continues in
Texture and Color, Color and Texture, for Segmentation .