A new FPCA-based fast segmentation method for color images

Proceedings of the Fourth IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2004

Volumn , Issue , 2004, Pages 72-75

  Abadpour, Arash ^a   Kasaei, Shohreh ^a  

^a SHARIF UNIVERSITY OF TECHNOLOGY   (Iran)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; DIGITAL IMAGE STORAGE; ERROR ANALYSIS; FUZZY SETS; IMAGE SEGMENTATION; MATRIX ALGEBRA; NEURAL NETWORKS; OPTIMIZATION; PERSONAL COMPUTERS; PRINCIPAL COMPONENT ANALYSIS; SIGNAL PROCESSING; STATISTICAL METHODS; VECTORS;

COLOR CLUSTERING; CONVOLUTIONAL KERNEL; EUCLIDEAN DISTANCES; FUZZY OBJECTIVE FUNCTION-BASED CLUSTERING METHODS; ILLUMINATION COORDINATE REJECTION; LINEAR PARTIAL RECONSTRUCTION ERROR; MAHALANOBIS DISTANCES;

COLOR IMAGE PROCESSING;

EID: 21544465901     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (24)

1. H. Sofyan, "Fuzzy clustering," in Statistical Case Studies, W. Hardie, Y. Mon, and P. Vieu, Eds., 2004, pp. 131-142.
2. A. M. Massone, F. Masulli, and A. Petrosini, "Fuzzy clustering algorithms and landsat images for detection of waste areas: A comparison," Advances in Fuzzy Systems and Intelligent Technologies, pp. 165-175, 2000.
3. J. B. et al., Fuzzy Models and Algorithms for Pattern Recognition and Image Processing. Boston: Kluwer Academic Publishers, 1999.
4. R. Duda and P. Hart, Pattern Classification and Scene Analysis. New York: Wiley, 1973.
5. J. Dunn, "A fuzzy relative of the isodata process and its use in detecting compact well-separated clusters," Journal of Cybernetics, vol. 3, pp. 32-57, 1973.
6. J. C. Bezdek, Pattern Recognition with Fuzzy Objective Function Algorithms. New York: Plenum Press, 1981.
7. D. E. Gustafson and W. C. Kessel, "Fuzzy clustering with a fuzzy covariance matrix," in Proceedings of the IEEE CDC, vol. 2, San Diego, CA, 1979, pp. 761-766.
8. I. Gath and A. Geva, "Unsupervisedoptimal fuzzy clustering," IEEE Trans. Pattern Anal Machine Intell., vol. 11(7), p. 773781, 1989.
9. J. M. Leski, "Fuzzy c-varieties/elliptotypes clustering in reproducing kernel hillbert space," Fuzzy Sets and Systems, vol. 141, p. 259280, 2004.
10. R. Krishnapuram, O. Nasraoui, and H. Frigui, "The fuzzy c-spherical shells algorithm: a new approach," IEEE Trans. Neural Networks, vol. 3(5), p. 663671, 1992.
11. R. Krishnapuram and J. Kim, "Clustering algorithms based on volume criteria," IEEE Trans. Fuzzy Systems, vol. 8(2), p. 228236, 1995.
12. R. Krishnapuram, H. Frigui, and O. Nasraoui, "Fuzzy and possibilistic shell clustering algorithms and their application to boundary detection and surface approximationpart i," IEEE Trans. Fuzzy Systems, vol. 3(1), p. 4460, 1995.
13. R. Krishnapuram and J. Keller, "A possibilistic approach to clustering," IEEE Transaction on Fuzzy Systems, vol. 1, pp. 98-110, 1993.
14. K.-K. Ma and J. Wang, "Color distance histogram: A novel descriptor for color image segmentation," in Seventh International Conference on Control, Automation, Robotics, and Vision (ICARCV'02), Singapore, December 2002, pp. 1228-1232.
15. X. Dai and I. Maeda, "Fuzzy-based segmentation of color natural images," in IEEE ICSP'02, 2002, pp. 969-972.
16. J. Chamorro-Martinez, D. Sanchez, B. Pardos-Suarez, E. Galan-Perales, and M. Vila, "Segmenting colour images on the basis of a fuzzy hierarchical approach," Mathware and Soft Computing, vol. 10, 2003.
17. M. Kaya, "A new image clustering and compression method based on fuzzy hopfield neural network," in IJCI Proceedings of International Conference on Signal Processing, ISSN 1304-2386, vol. 1(2), September 2003. pp. 11-16.
18. S.-H. Leung, S.-L. Wang, and W.-H. Lau, "Lip image segmentation using fuzzy clustering incorporating an elliptic shape function," IEEE Transaction on Image Processing, vol. 13(1), pp. 51-62, January 2004.
19. A. Abadpour and S. Kasaei, "A new parametric linear adaptive color space and its pea-based implementation," in The 9th Annual CSI Computer Conference, CSICC, Tehran, Iran, Feb. 2004, pp. 125-132.
20. _, "Performance analysis of three homogeneity criteria for color image processing," in IPM Workshop on Computer Vision, Tehran, Iran, 2004.
21. P. H., "Representation of color images in different color spaces," in The color image processing handbook, S. Sangwlne and R. Home, Eds. London: Chapman and hall, 1998, pp. 67-90.
22. D. Gering, "Linear and nonlinear data dimensionality reduction," MIT Area Exam, http://www.ai.mit.edu/people/gering/areaexam/, April 17, 2002.
23. T. Cundarí, C. Sarbu, and H. F. Pop, "Robust fuzzy principal component analysis(fpca). a comparative study concerning interaction of carbonhydrogen bond with molybden-oxo bond," J. Chem. Inf. Comput. Sci., vol. 42, pp. 1363-1369, 2002.
24. K. Honda, N. Sugiura, and H. Ichihashi, "Robust local principal coomponent analyzer withfuzzy clustering," in IJCANN 2003 Conference Proceedings, 2003, pp. 732-737.