An affine-invariant active contour model (AI-snake) for model-based segmentation

Image and Vision Computing

Volumn 16, Issue 2, 1998, Pages 135-146

  Ip, Horace H S ^a   Shen, Dinggang ^a  

^a CITY UNIVERSITY OF HONG KONG   (Hong Kong)

Author keywords

Active contour; Affine invariant; Correspondence matching; Curvature; Deformable model; Model based; Object tracking; Snake

Indexed keywords

ERROR CORRECTION; FEATURE EXTRACTION; FUNCTIONS; IMAGE SEGMENTATION; MATHEMATICAL MODELS; MATHEMATICAL TRANSFORMATIONS; OPTIMIZATION; PROBLEM SOLVING; VECTORS;

ACTIVE CONTOUR; AFFINE INVARIANT SNAKE MODEL; CORRESPONDENCE MATCHING; OBJECT TRACKING;

OBJECT RECOGNITION;

EID: 0032003465     PISSN: 02628856     EISSN: None     Source Type: Journal    
DOI: 10.1016/s0262-8856(97)00051-6     Document Type: Article

References (35)

1. A.K. Jain, Y. Zhong, S. Lakshmnan, Object matching using deformable templates, IEEE Transactions on Pattern Analysis and Machine Intelligence 18 (3) (1996) 267-278.
2. L.H. Staib, J.S. Duncan, Boundary finding with parametrically deformable models, IEEE Transactions on Pattern Analysis and Machine Intelligence 14 (11) (1992) 1061-1075.
3. G. Storvik, A Bayesian approach to dynamic contours through stochastic sampling and simulated annealing, IEEE Transactions on Pattern Analysis and Machine Intelligence 16 (10) (1994) 976-986.
4. T.F. Cootes, C.J. Taylor, D.H. Cooper, J. Graham, Active shape models - their training and application, Computer Vision and Image Understanding 61 (1) (1995) 38-59.
5. M. Kass, A. Witkin, D. Terzopoulos, Snakes: active contour models, International Journal of Computer Vision 1 (1988) 321-331.
6. L.D. Cohen, I. Cohen, Finite-element methods for active contour models and balloons for 2-D and 3-D images, IEEE Transactions on Pattern Analysis and Machine Intelligence 15 (11) (1993) 1131-1147.
7. F. Leymarie, M.D. Levine, Tracing deformable objects in the plane using an active contour model, IEEE Transactions on Pattern Analysis and Machine Intelligence 15 (6) (1993) 617-634.
8. A. Amano, Y. Sakaguchi, M. Minoh, K. Ikeda, Snake using a sample contour model, ACCV'93 Asian Conference on Computer Vision, Osaka, Japan, 1993, pp. 538-541.
9. P. Radeva, E. Marti, An improved model of snakes for model-based segmentation, CAIP'95 Proceedings of International conference on Computer Analysis and Image Processing, Prague, Czech Republic, 1995.
10. P. Radeva, J. Serrat, E. Marti, A snake for model-based segmentation, ICCV'95 Proceedings of International Conference on Computer Vision, MIT, USA, 1995.
11. Kok F. Lai, Roland T. Chin, Deformable contour: modeling and extraction, IEEE Transactions on Pattern Analysis and Machine Intelligence 17 (11) (1995) 1084-1090.
12. Y.F. Wang, J.F. Wang, Surface reconstruction using deformable models with interior and boundary constraints, IEEE Transactions on Pattern Analysis and Machine Intelligence 14 (5) (1992) 572-579.
13. A. Sclaroff, A.P. Pentland, Modal matching for correspondence and recognition, IEEE Transactions on Pattern Analysis and Machine Intelligence 17 (6) (1995) 545-561.
14. E.E. Milios, Shape matching using curvature process, Computer Vision, Graphics and Image Processing 47 (1989) 203-226.
15. M. Baroni, G. Barletta, Digital curvature estimation for left ventricular shape analysis, Image and Vision Computing 10 (7) (1992) 485-494.
16. M.H. Han, D. Jang, The use of maximum curvature points for the recognition of partially occluded objects, Pattern Recognition 23 (1/2) (1990) 21-33.
17. F. Mokhtarian, Silhouette-based isolated object recognition through curvature-scale space, IEEE Transactions on Pattern Analysis and Machine Intelligence 17 (5) (1995) 539-544.
18. F. Mokhtarian, Silhouette-based object recognition with occlusion through curvature scale Space, Proceedings of the European Conference on Computer Vision, Cambridge, UK, Vol. 1, 1996, pp. 566-578.
19. D. Cyganski, R.F. Vaz, A linear signal decomposition approach to affine invariant contour identification, Pattern Recognition 28 (12) (1995) 1845-1853.
20. R.F. Vaz, D. Cyganski, Generation of affine invariant local contour feature data, Pattern Recognition Letters 11 (1990) 479-483.
21. K. Arbter et al., Application of affine-invariant Fourier descriptors to recognition of 3-D objects, IEEE Transactions on Pattern Analysis and Machine Intelligence 12 (7) (1990) 640-647.
22. Q.M. Tieng, W.W. Boles, An application of wavelet-based affine-invariant representation, Pattern Recognition Letters 16 (1990) 1287-1296.
23. Y.L. Fok, J. Chan, R.T. Chin, Automated analysis of nerve-cell images using active contour models, IEEE Transactions of Medical Imaging 15 (3) (1996) 353-368.
24. M.D. Jolly, S. Lakshmanan, A.K. Jain, Vehicle segmentation and classification using deformable templates, IEEE Transactions on Pattern Analysis and Machine Intelligence 18 (3) (1996) 292-308.
25. L.D. Cohen, Note on active contour models and balloons, CVGIP: Image Understanding 53 (2) (1991) 211-218.
26. A.A. Amini, T.E. Weymouth, R.C. Jain, Using dynamic programming for solving variational problems in vision. IEEE Transactions on Pattern Analysis and Machine Intelligence 12 (9) (1990) 855-867.
27. D.J. Williams, M. Shah, A fast algorithm for active contours and curvature estimation, Computer Vision Graphics, Image Processing 55 (1992) 14-26.
28. C.T. Tsai, T.N. Sun, P.C. Chung, Minimizing the energy of active contour model using a Hopfield network, IEE Processings Part E: Computers and Digital Techniques 140 (6) (1993) 297-303.
29. K.F. Lai, Roland T. Chan, On regularization, formulation and initialization of the active contour models (snakes), ACCV'93 Asian Conference on Computer Vision, Osaka, Japan, 23-25 November, pp. 542-545.
30. G. Xu, E. Segawa, T. Saburo, Robust active contours with insenstitive parameters, Pattern Recognition 27 (7) (1994) 879-884.
31. P. Radev, J. Serrat, E. Marti, A snake for model-based segmentation, Proceedings of International Conference on Computer Vision (ICCV'95), MIT, USA, 1995.
32. M. Worring et al., Parameterized feasible boundaries in gradient vector fields, CVGIP: Image Understanding 63 (1) (1996) 135-144.
33. E. Rivlin, I. Weiss, Local invariants for recognition, IEEE Transactions on Pattern Analysis and Machine Intelligence 17 (3) (1995) 226-238.
34. A. Rattarangsi, R.T. Chin, Scale-based detection of corners of planar curves, IEEE Transactions on Pattern Analysis and Machine Intelligence 14 (4) (1992) 430-449.
35. D.M. Tsai, M.F. Chen, Curve fitting approach for tangent angle and curvature measurements, Pattern Recognition 27 (5) (1994) 699-711.