Journal of Mathematical Sciences: Advances and Applications[1] S. Abdulkadir and G. Yanhui, Color texture image segmentation
based on neutrosophic set and wavelet transformation, Original
Research Article Computer Vision and Image Understanding 115(8)
(2011), 1134-1144.
[2] R. Chrástek, M. Wolf, K. Donath, H. Niemann, D. Paulus, T.
Hothorn, B. Lausen, R. L’ammer, C. Y. Mardin and G.
Michelson, Automated segmentation of the optic nerve head for
diagnosis of glaucoma, Original Research Article Medical Image
Analysis 9(4) (2005), 297-314.
[3] R. Gonzalez and J. Woods, Digital Image Processing, 3rd Edition,
Prentice Hall, New Jersey, 2008.
[4] G. Hai, L. Weisi, X. Ping and S. Wan-Chi, Marker-based image
segmentation relying on disjoint set union, Original Research Article
Signal Processing: Image Communication 21(2) (2006), 100-112.
[5] Z. Hui, E. F. Jason and A. G. Sally, Image segmentation
evaluation: A survey of unsupervised methods, Original Research
Article Computer Vision and Image Understanding 110(2) (2008),
260-280.
[6] S. Jérome, K. Jinman and M.-T. Nadia, Robust statistical shape
models for MRI bone segmentation in presence of small field of view,
Original Research Article Medical Image Analysis 15(1) (2011),
155-168.
[7] M. Ludovic, V. Nicolas and P. Jack-Gérard, Color image
segmentation by analysis of subset connectedness and color homogeneity
properties, Original Research Article Computer Vision and Image
Understanding 102(1) (2006), 105-116.
[8] D. Maleike, M. Nolden, H. P. Meinzer and I. Wolf, Interactive
segmentation framework of the medical imaging interaction toolkit,
Original Research Article Computer Methods and Programs in Biomedicine
96(1) (2009), 72-83.
[9] S. D. Olabarriaga and A. W. M. Smeulders, Interaction in the
segmentation of medical images: A survey, Original Research Article
Medical Image Analysis 5(2) (2001), 127-142.
[10] L. Shuo, F. Thomas, K. Adam and L. Song, Automatic clinical image
segmentation using pathological modeling, PCA and SVM, Original
Research Article Engineering Applications of Articial Intelligence
19(4) (2006), 403-410.
[11] T. S. Subashini, V. Ramalingam and S. Palanivel, Automated
assessment of breast tissue density in digital mammograms, Original
Research Article Computer Vision and Image Understanding 114(1)
(2010), 33-43.
[12] J. Suckling et al., The mammographic image analysis society
digital mammogram database exerpta medica, International Congress
Series 1069 (1994), 375-378.
