A three-level clustering algorithm for color texture segmentation

ICWET 2010 - International Conference and Workshop on Emerging Trends in Technology 2010, Conference Proceedings

Volumn , Issue , 2010, Pages 645-650

  Sujaritha, M ^a   Annadurai, S ^b  

^a J J COLLEGE OF ENGINEERING AND TECHNOLOGY   (India)

^b Directorate of Technical Education   (India)

Author keywords

Adaptive; Binary quaternion moment preserving thresholding; Color; Color quantization; SOM; Texture; Unsupervised segmentation

Indexed keywords

BINARY QUATERNION MOMENT PRESERVING THRESHOLDING; COLOR QUANTIZATION; MOMENT PRESERVING; THRESHOLDING; UNSUPERVISED SEGMENTATION;

COLOR; CONFORMAL MAPPING; IMAGE SEGMENTATION; STRENGTH OF MATERIALS; TEXTURES;

CLUSTERING ALGORITHMS;

EID: 77952371084     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1741906.1742052     Document Type: Conference Paper

References (21)

1. A. Materka and M.Strzelecki, 1998. Texture analysis methods- A review," Rep.COST B11, Inst.Electron., Tech.Univ. Lodz.
2. Cheng H.D, X.H.Jiang, Y.Sun, and J.L Wang, Dec.2001. Color image segmentation:Advances and prospects, Pattern Recognition, vol.34, no.12, pp.2259- 2281.
3. Chen J. and T.N.Pappas, A.Mojsilovic and B.E. Rogowitz, Oct 2005. Adaptive perceptual color-texture image segmentation, IEEE Trans. Image Process. Vol.14, no.10 pp 1524-1536.
4. D.Panjwani and G.Healey, Oct 1995. Markov random field models for unsupervised segmentation of textured color images, IEEE Trans. Pattern Anal. Mac. Intell. Vol.17, no.10,pp. 939-954.
5. D. E.Ilea and P.F Whelan , CTex, Oct 2008. An adaptive unsupervised segmentation algorithm based on color -texture coherence, IEEE Trans. On Image Processing , vol 17, no.10.
6. D.Comaniciu and P .Meer, 2002. Mean Shift: A robust approach toward feature space analysis, IEEE Trans. Pattern Anal. Mac. Intell. Vol.24,no 5,pp 603-619.
7. H.Permuter, J.Francos and I.Jermyn, 2006. A study of Gaussian mixture models of color and texture fetures for image classification and segmentation, Pattern Recognition., vol.39, no.4 pp.695-706.
8. M.Sujaritha and S. Annadurai, 2010. Color Image Segmentation using Adaptive Spatial Gaussian Mixture Model, International Journal of Signal Processing 6:1.
9. Max Mignotte, May 2008. Segmentation by fusion of histogram-based K-Means Clusters in Different color spaces, IEEE Trans. On Image Processing, vol.17,no.5.
10. M. Islam, J. Yearwood, and P. Vamplew, 2007. Unsupervised Color Textured Image Segmentation Using Cluster Ensembles and MRF Model, Tarek Sobh (ED)"
11. Proceedings of CISSE , Advances in Computer and Information Sciences and Engineering, Springer- Verlag', pp. 323-328.
12. S.Sanjay-Gopal and Thomas J. Hebert , July 1998. Bayesian Pixel Classification Using Spatially Variant Finite Mixtures and the Generalized EM Algorithm, IEEE Transactions on Image Processing, Vol.7, No.7.
13. Y. Deng, C. Kenney M.S. Moore and B.S.Manjunath, 1999. Peer group filtering and perceptual color image quantization, IEEE Computer society.
14. M.Sujaritha and S. Annadurai, 2009. Color Image Segmentation Using Binary Level-set Partitioning Approach, international Journal of Soft Computing 4 (2): 76-84, Medwell journals.
15. Pei, S.C. and C.M. Cheng, 1999. Color image processing by using binary quaternion momentpreserving thresholding. IEEE. Trans. Image Process., 8: 614-628.
16. Randen T. and J.H.Husoy, Apr., 1999. Filtering for texture classification: A comparative study, IEEE Trans. Pattern Anal. Mach. Intell., vol.21, no.4, pp.291-310.
17. S.Banks, 1990. Signal Processing , Image Processing and pattern Recognition, Englewood Cliffs, NJ: Prentice -Hall.
18. Shi J., and Malik J.,Aug 2000. Normalized cuts and image Segmentation, IEEE Trans. Pattern Anal. Mac. Intell. Vol.22, no.8, pp888-905.
19. Y.Deng and B.S. Manjunath,Aug 2001. Unsupervised segmentation of color texture regions in images and video," IEEE Trans. Pattern Anal. Mach. Intell. Vol23 no 8, pp. 800-810.
20. Z. Kato and T.C.. Pong, 2006. A Markov random field image segmentation model for color textured images, image Vis. Comput., vol24, no,10,pp.1103-1114.
21. Zhu and Yuille, A Sep 1996. Region Competition:Unifying Snakes, region growing, Bayes/MDL for multiband image segmentation, IEEE