Active contours on statistical manifolds and texture segmentation

Proceedings - International Conference on Image Processing, ICIP

Volumn 3, Issue , 2005, Pages 828-831

  Lee, Sang Mook ^a   Abbott, A Lynn ^a   Clark, Neil A ^b   Araman, Philip A ^b  

^a State University   (United States)

^b USDA FOREST SERVICE   (United States)

Author keywords

Active contours; Kullback Leibler divergence; Statistical manifolds; Texture segmentation

Indexed keywords

PARAMETER ESTIMATION; PROBABILITY DENSITY FUNCTION; STATISTICAL METHODS; TENSORS; TEXTURES;

ACTIVE CONTOURS; KULLBACK-LEIBLER DIVERGENCE; STATISTICAL MANIFOLDS; TEXTURE SEGMENTATION;

IMAGE SEGMENTATION;

EID: 33749239072     PISSN: 15224880     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIP.2005.1530520     Document Type: Conference Paper

References (23)

1. R.M. Haralick, Statistical and structural approaches to texture, IEEE Proceedings, vol. 67, no. 5, pp. 786-804, 1979.
2. A. Jain and F. Farrokhnia, Unsupervised texture segmentation using Gabor filters, Pattern Recognition, 24, pp. 1167-1186, 1991.
3. G. Haley and B.S. Manjunath, Rotation invariant texture classification using a complete space-frequency model, IEEE Trans. on Image Processing, vol.8, no. 2, pp. 255-269, 1999.
4. M. Rousson, T. Brox, and R. Deriche, Active unsupervised texture segmentation on a diffusion based feature space, Proc. of IEEE Conference on Computer Vision and Pattern Recognition, vol.2, pp. II-699-704, June 2003.
5. A. Yezzi, Jr., A. Tsai, and A. Willsky, A statistical approach to snakes for bimodal and trimodal imagery, Proc. of IEEE Intl. Conf. on Computer Vision, vol. 2, pp. 898-903, 1999.
6. G. Sapiro, Vector (self) snakes: a geometric framework for color, texture, and multiscale image segmentation, Proc. of IEEE Intl. Conf. on Image Processing, vol. 1, pp. 817-820, September 1996.
7. N. Paragios and R. Deriche, Geodesic active regions for supervised texture segmentation, Proc. of IEEE Intl. Conf. on Computer Vision, vol.2, pp. 926-932, 1999.
8. J.-F. Aujol, G. Aubert, and L. Blanc-Feraud, Wavelet-based level set evolution for classification of textured images, IEEE Trans. on Image Processing, vol. 12, no. 12, pp. 1634-1641, 2003.
9. N. Sochen, R. Kimmel and R. Malladi, A general framework for low level vision, IEEE Trans. on Image Processing, vol. 7, no. 3, pp. 310-318, 1998.
10. D. Freedman and T. Zhang, Active contours for tracking distributions, IEEE Trans. on Image Processing, vol. 13, no. 4, pp. 518-526, 2004.
11. V. Caselles, R. Kimmel, and G. Sapiro, Geodesic active contours, Intl. Journal of Computer Vision, vol. 22, no. 1, pp. 61-79, 1997.
12. J. Puzicha, J.M. Buhmann, Y. Rubner, and C. Tomsai, Empirical evaluation of dissimilarity measures for color and texture, Proc. of IEEE Intl. Conf. on Computer Vision, Greece, September, pp. 1165-1172, 1999.
13. S.J. Osher and I.A. Sethian, Fronts propagating with curvature dependent speed: algorithms based on Hamilton-Jacobi formulations, Journal of Computational Physics, vol. 79, pp. 12-49, 1988.
14. A. Laine and J. Fan, Texture classification by wavelet packet signatures, IEEE Trans. on Pattern Analysis and Machine Intelligent, vol. 15, pp. 1186-1191, 1993.
15. M. Unser, Texture classification and segmentation using wavelet frames, IEEE Trans. on Image Processing, vol. 4, pp. 1549-1560, November 1995.
16. C. Bouman and M. Shapiro, A multiscale random field model for Bayesian image segmentation, IEEE Trans. on Image Processing, vol. 3, pp. 162-177, 1994.
17. B. Manjunath and R. Chellappa, Unsupervised texture segmentation using markov random fields models, IEEE Trans. on Pattern Analysis and Machine Intelligent, vol. 13, pp. 478-482, May 1991.
18. L. Lepisto, I. Kunttu, J. Autio, and A. Visa, Classification of non-homogenous texture images by combining classifiers, Proc. of IEEE Intl. Conf. on Image Processing, vol. 1, pp. I-981-984, 2003.
19. A.C. Bovic, M. Clark, and W.S. Geisler, Multichannel texture analysis using localized spatial filters, IEEE Trans. on Pattern Analysis and Machine Intelligence, vol. 12, pp. 55-73, 1990.
20. T.F. Chan and L.A. Vese, Active contours without edges, IEEE Trans. on Image Processing, vol. 10, no. 2, pp. 266-277, 2001.
21. S. Belongie, C. Carson, H. Greenspan, and J. Malik, Color-and texture-based image segmentation using EM and its application to content-based image retrieval, Proc. of IEEE Intl. Conf. on Computer Vision, January, pp. 675-682, 1998.
22. J. Kim, J.W. Fisher III, A. Yezzi, Jr., M. Cetin, and A.S. Willsky, Nonparametric methods for image segmentation using information theory and curve evolution, Proc. of IEEE Intl. Conf. on Image Processing, vol.3, pp.797-800, 2002.
23. M Rousson and R. Deriehe, A variational framework for active and adaptative segmentation of vector valued images, Proc. of Workshop on Motion and Video Computing, pp. 56-61, 2002.