Color image segmentation by pixel classification in an adapted hybrid color space. Application to soccer image analysis

Computer Vision and Image Understanding

Volumn 90, Issue 2, 2003, Pages 190-216

  Vandenbroucke, Nicolas ^a   Macaire, Ludovic ^b   Postaire, Jack Gérard ^b  

^a Ecole d'Ingénieurs de Pas de Calais   (France)

^b UNIV LILLE   (France)

Author keywords

Color images; Color spaces; Segmentation; Soccer

Indexed keywords

ALGORITHMS; COLOR IMAGE PROCESSING; COMPUTATIONAL COMPLEXITY; ERROR ANALYSIS; TEXTURES;

PIXEL CLASSIFICATION;

IMAGE SEGMENTATION;

EID: 0242657790     PISSN: 10773142     EISSN: None     Source Type: Journal    
DOI: 10.1016/S1077-3142(03)00025-0     Document Type: Article

References (46)

1. T. Bebie, H. Bieri, Soccerman: reconstructing soccer games from video sequences, in: IEEE Int. Conf. on Image Processing, Chicago, USA, 1998, pp. 898-902.
2. C.C. Brunner, A.G. Maristany, D.A. Butler, D. Vanleuween, J.W. Funck, An evaluation of color spaces for detecting defects in Douglas-fir veneer, Ind. Metrol. 2 (3 and 4) (1992) 169-184.
3. H.-D. Cheng, X.-H. Jiang, Y. Sun, J. Wang, Color image segmentation: advances and prospects, Pattern Recognition 34 (12) (2001) 2259-2281.
4. A. Cumani, A note on the gradient of multi-image edge detection in multispectral images, Comput. Vision Graphics Image Process. 53 (1991) 40-51.
5. M. Dash, H. Liu, Feature selection for classification, Intelligent Data Anal. 1 (3) (1997) 131-156.
6. C. Finnin, D. Hamad, J. Postaire, R.D. Zhang, Feature extraction and selection for fault detection in production of glass bottles, Machine Graphics Vision Int. J. 5 (1) (1996) 77-86.
7. Y.H. Gong, L.T. Sin, C.H. Chuan, H. Zhang, M. Sakauchi, Automatic parsing of TV soccer programs, in: Int. Conf. on Multimedia Computing and Systems, Washington, DC, USA, 1995, pp. 167-174.
8. J.F. Hair, R.E. Anderson, R.L. Tatham, W. Black, Multivariate Data Analysis, Prentice-HalllocationEnglewood Cliffs, NJ, 1998.
9. M.A. Ismail, M.S. Kamel, Multidimensional data clustering utilizing hybrid search strategies, Pattern Recognition 22 (1989) 75-89.
10. T. Kawashima, K. Yoshino, Y. Aoki, Qualitative image analysis of group behaviour, in: IEEE Int. Conf. on Computer Vision and Pattern Recognition, Seattle, USA, 1994, pp. 690-693.
11. R. Kouassi, P. Gouton, M. Paindavoine, Approximation of the Karhunen-Loéve transformation and its application to colour images, Signal Processing: Image Commun. 16 (6) (2001) 541-551.
12. P. Lambert, T. Carron, Symbolic fusion of luminance-hue-chroma features for region segmentation, Pattern Recognition 32 (11) (1999) 1857-1872.
13. J.H. Lee, B.H. Chang, S.D. Kim, Comparison of colour transformations for image segmentation, Electron. Lett. 30 (20) (1994) 1660-1661.
14. Y.W. Lim, S.U. Lee, On the color image segmentation algorithm based on the thresholding and the fuzzy c-means techniques, Pattern Recognition 23 (9) (1990) 935-952.
15. E. Littman, E. Ritter, Colour image segmentation: a comparison of neural and statistical methods, IEEE Trans. Neural Networks 8 (1) (1997) 175-185.
16. E. Littmann, H. Ritter, Adaptive color segmentation. A comparison of neural and statistical methods, IEEE Trans. Neural Networks 8 (1) (1997) 175-185.
17. J. Liu, Y. Yang, Multiresolution color image segmentation, IEEE Trans. Pattern Anal. Machine Intell. 16 (7) (1994) 689-700.
18. J. Mukherjee, Mrf clustering for segmentation of color images, Pattern Recognition 23 (2002) 917-929.
19. M. Naemura, A. Fukuda, Y. Mizutani, Y. Izumi, Y. Tanaka, K. Enami, Morphological segmentation of sport scenes using color information, IEEE Trans. Broadcasting 46 (3) (2000) 181-188.
20. R. Ohlander, K. Price, D.R. Reddy, Picture segmentation using a recursive region splitting method, Comput. Graphics Image Process. 8 (1978) 313-333.
21. Y.I. Ohta, T. Kanade, T. Sakai, Color information for region segmentation, Comput. Graphics Image Process. 13 (1980) 222-241.
22. D.K. Panjwani, G. Healey, Markov random field models for unsupervised segmentation of textured color images, IEEE Trans. Pattern Anal. Machine Intell. 17 (10) (1995) 939-954.
23. S.H. Park, I.D. Yun, S.U. Lee, Color image segmentation based on 3-D clustering: morphological approach, Pattern Recognition 31 (8) (1998) 1061-1076.
24. F. Pernkopf, P. O'Leary, Automatic inspection system for detection and classification of flaws on turned parts, in: IAPR Int. Conf. on Quality Control by Artificial Vision, Le Creusot, France, 2001, pp. 359-364.
25. C.A. Poynton A guided tour of color space, in: SMPTE Advanced Television and Electronic Imaging Conf., San Fransisco, 1995, 167-180.
26. C.R. Rao, Linear Statistical Inference and its Applications, Wiley, New York, 1973.
27. J. Romeder, Mé thodes et programmes d'analyse discriminante, Dunod, Paris, 1973, ISBN 2-04-007719-7.
28. S.J. Sangwine, R.E.N. Horne, The Colour Image Processing Handbook, Chapman & Hall, London, 1998.
29. P. Scheunders, A genetic c-means clustering algorithm applied to color image quantization, Pattern Recognition 30 (6) (1997) 859-866.
30. Y. Seo, S. Choi, H. Kim, K. Hong, Where are the ball and players? Soccer game analysis with color-based tracking and image mosaick, in: IAPR Int. Conf. on Image Analysis and Processing, Firenze, Italy, 1997, 196-203.
31. L. Shafarenko, M. Petrou, J.V. Kittler, Histogram based segmentation in a perceptually uniform color space, IEEE Trans. Image Process. 7 (9) (1998) 1354-1358.
32. G. Sharma, H.J. Trussell, Digital color imaging, IEEE Trans. Image Process. 6 (7) (1997) 901-932.
33. P. Somol, P. Pudil, J. Novovicova, P. Paclik, Adaptive floating search methods in feature selection, Pattern Recognition Lett. 20 (8) (1999) 1157-1163.
34. S. Sudo, S. Ozawa, Scene analysis of soccer game, in: IAPR Int. Conf. on Quality Control by Artificial Vision, Trois-Rivi res, Canada, 1999, 119-123.
35. K. Takahashi, H. Nakatani, K. Abe, Color image segmentation using ISODATA clustering method, in: Second Asian Conf. on Computer Vision, Singapore, vol. 1, 1995, 523-527.
36. S. Tominaga, Color classification of natural color images, Color Res. Appl. 17 (4) (1992) 230-239.
37. A. Trémeau, N. Borel, A region growing and merging algorithm to color segmentation, Pattern Recognition 30 (7) (1997) 1191-1203.
38. A. Trémeau, P. Colantoni, Regions adjacency graph applied to color image segmentation, IEEE Trans. Image Process. 9 (4) (2000) 735-744.
39. T. Uchiyama, M.A. Arbib, Color image segmentation using competitive learning, IEEE Trans. Pattern Anal. Machine Intell. 16 (12) (1994) 1197-1206.
40. N. Vandenbroucke, L. Macaire, J. Postaire, Soccer player recognition by pixels classification in an hybrid color space, in: Multispectral and Hyperspectral Imagery III, Orlando, USA, vol. 3071, 1997, pp. 23-33.
41. N. Vandenbroucke, L. Macaire, J. Postaire, Color pixels classification in an hybrid color space, in: IEEE Int. Conf. on Image Processing, Chicago, USA, vol. 180, 1998, pp. 176-180.
42. N. Vandenbroucke, L. Macaire, J. Postaire, Color image segmentation by supervised pixel classification in a color texture feature space. Application to soccer image segmentation, in: IAPR Int. Conf. on Pattern Recognition, Barcelona, Espana, vol. 3, 2000, pp. 625-628.
43. N. Vandenbroucke, L. Macaire, J. Postaire, Color systems coding for color image processing, in: Int. Conf. on Color in Graphics and Image Processing, Saint-Etienne, France, vol. 1, 2000, pp. 180-185.
44. N. Vandenbroucke, L. Macaire, J. Postaire, Unsupervised color texture features extraction and selection for soccer images segmentation, in: IEEE Int. Conf. on Image Processing, Vancouver, Canada, vol. 2, 2000, pp. 800-803.
45. N. Vandenbroucke, L. Macaire, C. Vieren, J. Postaire, Contribution of color classification to soccer players tracking with snakes, in: IEEE Int. Conf. on System, Man, and Cybernetics, Orlando, USA, vol. 4, 1997, pp. 3660-3665.
46. S.D. Zenzo, A note on the gradient of a multi-image, Comput. Vision Graphics Image Process. 33 (1986) 116-125.