Path-based clustering for grouping of smooth curves and texture segmentation

IEEE Transactions on Pattern Analysis and Machine Intelligence

Volumn 25, Issue 4, 2003, Pages 513-518

  Fischer, Bern ^a,b   Buhmann, Joachim M ^a,b  

^a UNIVERSITY OF BONN   (Germany)

^b IEEE   (United States)

Author keywords

Clustering; Perceptual grouping; Resampling; Texture segmentation

Indexed keywords

ALGORITHMS; EDGE DETECTION; FEATURE EXTRACTION; IMAGE ANALYSIS; IMAGE SEGMENTATION; OBJECT RECOGNITION; THREE DIMENSIONAL COMPUTER GRAPHICS;

CLUSTERING; IMAGE INTERPRETATION; IMAGE RECOGNITION; IMAGE STRUCTURE; PERCEPTUAL GROUPING; TEXTURE SEGMENTATION;

COMPUTER VISION;

EID: 0037963197     PISSN: 01628828     EISSN: None     Source Type: Journal    
DOI: 10.1109/TPAMI.2003.1190577     Document Type: Article

References (19)

1. A. Jain and R. Dubes, Algorithms for Clustering Data. Englewood Cliffs, N.J.: Prentice Hall, 1988.
2. J.M. Buhmann, "Data Clustering and Learning," Handbook of Brain Theory and Neural Networks, M. Arbib, ed., pp. 308-312, Bradfort Books/MIT Press, second ed., 2002.
3. B. Fischer, T. Zöller, and J.M. Buhmann, "Path Based Pairwise Data Clustering with Application to Texture Segmentation," Energy Minimization Methods in Computer Vision and Pattern Recognition, vol. 2134, pp. 235-250, 2001.
4. A. Amir and M. Lindenbaum, "Ground From Figure Discrimination," Computer Vision and Image Understanding, vol. 1, no. 76, pp. 7-18, 1999.
5. A. Amir and M. Lindenbaum, "A Generic Grouping Algorithm and Its Quantitative Analysis," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 20, no. 2, pp. 186-192, Feb. 1998.
6. A. Shashua and S. Ullman, "Structural Saliency: The Detection of Globally Salient Structures Using a Locally Connected Network," Proc. Int'l Conf. Computer Vision, 1988.
7. L. Williams and D. Jacobs, "Stochastic Completion Fields: A Neural Model of Illusory Contour Shape Saliency," Neural Computation, vol. 9, pp. 849-870, 1997.
8. L. Williams and K. Thornber, "A Comparsion of Measures for Detecting Natural Shapes in Cluttered Background," Int'l J. Computer Vision, vol. 34, pp. 81-96, 1999.
9. L. Herault and R. Horaud, "Figure-Ground Discrimination: A Combinatorial Optimization Approach," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 15, no. 9, pp. 899-914, Sept. 1993.
10. J. Puzicha, T. Hofmann, and J.M. Buhmann, "Histogram Clustering for Unsupervised Segmentation and Image Retrieval," Pattern Recognition Letters, vol. 20, pp. 899-909, 1999.
11. T. Hofmann and J.M. Buhmann, "Pairwise Data Clustering by Deterministic Annealing," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 19, no. 1, p. 1-14, Jan. 1997.
12. J. Shi, and J. Malik, "Normalized Cuts and Image Segmentation," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 22, no. 8, pp. 888-905, Aug. 2000.
13. J. Malik, S. Belongie, T. Leung, and J. Shi, "Contour and Texture Analysis for Image Segmentation," Int'l J. Computer Vision, vol. 43, no. 1, pp. 7-27, 2001.
14. B. Fischer and J.M. Buhmann, "Path Based Clustering for Grouping of Smooth Curves and Texture Segmentation," Institut fü Informatik III, Rheinische Friedrich-Wilhelms-Universität, Bonn, Germany, TR-IAI-2002-7, 2001.
15. J. Canny, "A Computational Approach to Edge Detection," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 8, no. 6, pp. 679-698, Nov. 1986.
16. Corel Corp., Corel Gallery, http://www.corel.com, 1998.
17. T. Hofmann, J. Puzicha, and J.M. Buhmann, "Unsupervised Texture Segmentation in a Deterministic Annealing Framework," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 20, no. 8, pp. 803-818, Aug. 1998.
18. A. Jain and F. Farrokhnia, "Unsupervised Texture Segmentation Using Gabor Filters," Pattern Recognition, vol. 24, no. 12, pp. 1167-1186, 1991.
19. T. Ojala, T. Mäenpää, M. Pietikäinen, J. viertola, J. Kyllönen, and S. Huovinen, "Outer-A New Framework for Empirical Evaluation of Texture Analysis Algorithms," Proc. Int'l Conf. Pattern Recognition, vol. 1, pp. 701-706, http://www.outex.oulu.fi, 2002.