Adaptative evaluation of image segmentation results

Proceedings - International Conference on Pattern Recognition

Volumn 2, Issue , 2006, Pages 399-402

[No Author Info available]

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; DATABASE SYSTEMS; LEARNING SYSTEMS; SUPPORT VECTOR MACHINES;

ADAPTATIVE EVALUATION; SEGMENTATION EVALUATION; UNSUPERVISED EVALUATION;

IMAGE SEGMENTATION;

EID: 34047222989     PISSN: 10514651     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICPR.2006.214     Document Type: Conference Paper

References (17)

1. J. Bezdeck. Pattern recognition with fuzzy objective function algorithms. Plenum Press, 1981.
2. M. Borsotti, P. Campadelli, and R. Schettini. Quantitative evaluation of color image segmentation results. Pattern Recognition Letters, 19:741-747, 1998.
3. S. Chabrier, C. Rosenberger, H. Laurent, B. Emile, and P. Marché. Evaluating the segmentation result of a gray-level image. EUSIPCO, pages 953-956, 2004.
4. D. Comaniciu and P. Meer. Mean shift: A robust approach toward feature space analysis. IEEE Transactions on Pattern analysis and Machine Intelligence, 24 (5):603-619, 2002.
5. J. Freixenet, X. Muñoz, D. Raba, J. Marti, and X. Cufi. Yet another survey on image segmentation: Region and boundary information integration. ECCV, pages 408-422, 2002.
6. R. Haralick, K. Shanmugan, and I. Dinstein. Textual features for image classification. IEEE Transactions on system, Man, and Cybernetics, SMC-3 (6):610-621, 1973.
7. R. M. Haralick. Image segmentation survey. NASA Workshop on Image Analogic, pages 7-16, 1982.
8. J. Y. Hsiao and A. A. Sawchuk. Supervised textured image segmentation using feature smoothing and probabilistic relaxation techniques. IEEE Transactions on Pattern Analysis and Machine Intelligence, 11(12):1279-1292, December 1989.
9. Q. Huang and B. Dom. Quantitative methods of evaluating image segmentation. International Conference on Image Processing (ICIP'95) Washington DC, USA, 3:53-56, 1995.
10. M. D. Levine and A. M. Nazif. Dynamic measurement of computer generated image segmentations. IEEE Transaction on Pattern Analysis and Machine intelligence, PAMI-7(2): 155-164, March 85.
11. D. Martin, C. Fowlkes, D. Tal, and J. Malik. A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics. 8th Int'l Conf. Computer Vision, pages 416-423, July 2001.
12. N. R. Pal and S. K. Pal. A review on image segmentation techniques. Pattern Recognition, 26 issue 9:1277-1294, 1993.
13. I. Steinwart. On the generalization ability of support vector machines. Technical report, 2001.
14. L. Vinet. Segmentation et mise en correspondance de régions de paires d'images stéréoscopiques. PhD thesis, Université de Paris IX Dauphine, Juillet 1991.
15. W. A. Yasnoff, J. K. Mui, and J. W. Bacus. Error measures for scene segmentation. Pattern Recognition, 9:217-231, 1977.
16. R. Zeboudj. Filtrage, Seuillage Automatique, Contraste et Contours: du Pré-Traitement à l'Analyse d'image. PhD thesis, Université de Saint Etienne, 1988.
17. Y. J. Zhang. A survey on evaluation methods for image segmentation. Pattern Recognition, 29(8):1335-1346, 1996.