Multiple active contour models with application to region extraction

Proceedings - International Conference on Pattern Recognition

Volumn 15, Issue 1, 2000, Pages 626-630

  Abe, Toru ^a   Matsuzawa, Yuki ^b  

^a JAPAN ADVANCED INSTITUTE OF SCIENCE AND TECHNOLOGY   (Japan)

^b TOKYO INSTITUTE OF TECHNOLOGY   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

EXTRACTION; PATTERN RECOGNITION;

ACTIVE CONTOUR MODEL; IMAGE DATA; IMAGE PROPERTIES; INITIAL CURVE; INTERACTIVE IMAGES; REGION EXTRACTION; SINGLE OBJECT; STATISTICAL CHARACTERISTICS;

IMAGE PROCESSING;

EID: 0442303633     PISSN: 10514651     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Article

References (11)

1. H. Akaike. A new look at the statistical model identification. IEEE Trans. Autom. Control, AC-19(6):716-723, 1974.
2. [21 L. D. Cohen. On active contour models and balloons. CVGIP: Image Understanding, 53(2):211-218, 1991.
3. A. P. Dempster, N. M. Laird, and D. B. Rubin. Maximal likelihood form incomplete data via the em algorithm. J. Roy. Stat. Soc. B, 39:1-38, 1977.
4. M. Etoh, Y. Shirai, and M. Asada. Active contour extraction based on region descriptions obtained from clustering. Trans. IEICE, J75-D-II(7):1111-1119, 1992.
5. J. Ivins and J. Porrill. Active region models for segmenting textures and colours. Image & Vision Comput., 13(5):431-438, 1995.
6. M. Kass, A. Witkin, and D. Terzopoulos. Snakes: Active contour models. Int. J. Comput. Vision, 1(4):321-331, 1988.
7. K. P. Ngoi and J. C. Jia. A new colour image energy for active contours in natural scenes. Pattern Recognition Lett., 17(12):1271-1277, 1996.
8. N. Otsu. A threshold selection method from gray-level histogram. IEEE Trans. Syst., Man. & Cybern., SMC-9(1):62-66, 1979.
9. N. Paragios and R. Deriche. Geodesic active regions for supervised texture segmentation. In Proc. of 7th Int. Conf. on Computer Vision, pages 926-932, 1999.
10. D. J. Williams and M. Shah. A fast algorithm for active contours and curvature estimation. CVGIP: Image Understanding, 55 (1): 14-26, 1992.
11. S. C. Zhu and A. Yuille. Region competition: Unifying snakes, region growing, and bayes/mdl for multiband image segmentation. IEEE Trans. Pattern Anal. & Mach. Intell., 18(9):884-900, 1996.