Image Registration Using a New Edge-Based Approach

Computer Vision and Image Understanding

Volumn 67, Issue 2, 1997, Pages 112-130

  Hsieh, Jun Wei ^a   Liao, Hong Yuan Mark ^b   Fan, Kuo Chin ^a   Ko, Ming Tat ^b   Hung, Yi Ping ^b  

^a NATIONAL CENTRAL UNIVERSITY   (Taiwan)

^b NONE

Author keywords

[No Author keywords available]

Indexed keywords

CHARACTER RECOGNITION; FEATURE EXTRACTION; IMAGE PROCESSING; WAVELET TRANSFORMS;

IMAGE REGISTRATION; LINE FITTING;

EDGE DETECTION;

EDGE BASED APPROACH; IMAGE ANALYSIS; IMAGE REGISTRATION; WAVELET TRANSFORM;

EID: 0031202482     PISSN: 10773142     EISSN: None     Source Type: Journal    
DOI: 10.1006/cviu.1996.0517     Document Type: Article

References (33)

1. L. G. Brown, A survey of image registration techniques, ACM Comput. Surv. 24, No. 4, 1992, 325-376.
2. A. D. Ventura, A. Pampini, and R. Schettini, Image registration by recognition of corresponding structures, IEEE Trans. Geosci. Remote Sensing 28, No. 3, 1990, 305-313.
3. Q. Zheng and R. Chellappa, A computational vision approach to image registration, IEEE Trans. Image Process. 2, No. 3, 1993, 311-326.
4. S. T. Barnard and M. A. Fischler, Computational stereo, ACM Computer Surveys 14, No. 4, pp. 553-572, Dec. 1982.
5. H. J. Lee and W. L. Lei, Region matching and depth finding for 3-D objects stereo aerial photographs, Pattern Recognit. 23, No. 1/2, 1990, 81-94.
6. Y. C. Hsieh, D. M. Mckeown Jr., and F. P. Perlant, "Performance evaluation of scene registration and stereo matching for cartographic feature extraction," IEEE Trans. Pattern Anal. Machine Intell., vol. 14, no. 2, pp. 214-238, Feb. 1992.
7. Q. Zheng and R. Chellappa, "Automatic feature point extraction and tracking in image sequences for arbitrary camera motion," I. J. Computer Vision, vol. 15, pp. 31-76, 1995.
8. K. S. Arun, T. S. Huang, and S. D. Blostein, "Least-square fitting of two 3-D point sets," IEEE Trans. Pattern Anal. Machine Intell., vol. PAMI-9, no. 5, pp. 698-700, Sept. 1987.
9. J. J. Rodriguez and J. R. Aggarwal, Matching aerial images to 3-D terrain maps, IEEE Trans. Pattern Anal. Mach. Intell. 12, No. 12, 1990, 1138-1149.
10. A. Goshtasby, "Image registration by local approximation methods," Image Vision Comput., vol. 6, no. 4, pp. 255-261, Nov. 1988.
11. B. S. Manjunath, R. Chellappa, and C. Malsburg, A feature based approach to face recognition, in Proceedings, IEEE Conf. Comput. Vision Pattern Recognition, Champaign, Illinois, 1992, pp. 373-378.
12. H. Li, B. S. Manjunath, and S. K. Mitra, A contour-based approach to multisensor image registration, IEEE Trans. Image Processing, vol. 4, no. 3, pp. 320-334, March 1995.
13. E. De Castro and C. Morandi, "Registration of translated and rotated image using finite Fourier transform," IEEE Trans. Pattern Anal. Machine Intell., vol. 9, no. 5, pp. 700-703, Sept. 1987.
14. T. Schenk, J. C. Li and C. Toth, "Towards an autonomous system for orienting digital stereo pairs," Photogrammetric Eng. Remote Sensing, vol. 57, no. 8, pp. 1057-1064, Aug. 1991.
15. A. Goshtasby, "Template Matching in Rotated Images," IEEE Trans. Pattern Anal. Machine Intell., vol. 7, no. 3, pp. 338-344, May 1985.
16. F. P. Perlant and D. M. Mckeown, "Scene registration in aerial image analysis survey," Photogrammetric Eng. Remote Sensing, vol. 56, no. 4, pp. 481-493, Apr. 1990.
17. G. C. Stochman, S. Kopstein, and S. Benett, "Matching images to models for registration and object detection via clustering," IEEE Trans. Pattern Anal. Machine Intell., vol. 4, no. 3, pp. 229-241, 1982.
18. S. Alliney and C. Morandi, "Digital image registration using projections," IEEE Trans. Pattern Anal. Machine Intell., vol. PAMI-8, no. 2, pp. 222-233, March 1986.
19. J. F. Canny, "A computational approach to edge detection," IEEE Trans. Pattern Anal. Machine Intell., vol. PAMI-8, no. 6, pp. 679-697, Nov. 1986.
20. S. Umeyama, "Least-squares estimation of transformation parameters between two point patterns," IEEE Trans. Pattern Anal. Machine Intell., vol. PAMI-13, no. 4, pp. 376-380, April 1991.
21. S. Mallat and S. Zhong, "Characterization of signals from multi-scale edges," IEEE Trans. Pattern Anal. Machine Intell., vol. PAMI-14, no. 7, pp. 710-732, July 1992.
22. J. S. Lee, Y. N. Sun, C. H. Chen, and C. T. Tsai, Wavelet based corner detection, Pattern Recognit. 26, No. 6, 1993, 853-865.
23. T. Chang and C. C. Jay Kuo, "Texture analysis and classification with tree-structured wavelet transform," IEEE Trans. Image Processing, vol. 2, no. 4, pp. 429-441, October 1993.
24. Y. Sheng, D. Roberge, Harold Szu, and T. Lu, "Optical wavelet matched filters for shift-in variant pattern recognition," Optics Letters, vol. 18, no. 4, pp. 299-301, Feb. 1993.
25. J. Zhou, X. Fand, and B. K. Ghosh, "Image segmentation based on multiresolution filtering," in Proc. IEEE Conf. Image Processing, Austin, Texas, vol. 3, pp. 483-487, Nov. 1994.
26. J. W. Hsieh, H. Y. Mark Liao, M. T. Ko, and K. C. Fan, "Waveletbased shape from shading," Graphical Models and Image Processing, vol. 57, no. 4, pp. 343-362, July 1995.
27. S. Mallat, "Multifrequency channel decompositions of images and wavelet models," IEEE Trans. Acoustics, Speech, Signal Processing, vol. ASSP-37, no. 12, pp. 2091-2110, Dec. 1989.
28. S. Mallat, "A theory for multiresolution signal decomposition: The wavelet representation," IEEE Trans. Pattern Anal. Machine Intell., vol. PAMI-11, no. 12, pp. 674-693, July 1989.
29. 2)," Trans. Amer. Math. Soc., vol. 3-15, pp. 69-87, Sept. 1989.
30. I. Daubechies, "The wavelet transform, time-frequency localization and signal analysis," IEEE Trans. Information Theory, vol. 36, no. 5, pp. 961-1005, Sept. 1990.
31. Y. Xu, J. B. Weaver, D. M. Healy, and J. Lu, "Wavelet transform domain filters: a spatially selective noise filtration technique," IEEE Trans. Image Processing, vol. 3, no. 6, pp. 747-758, Nov. 1995.
32. W. H. Press et al., Numerical Recipes in C: the Art of Scientific Computing, 2nd ed., pp. 661-662, Cambridge University Press, Cambridge, 1992.
33. J. W. Hsieh, H. Y. Liao, and K. C. Fan, "A new approach for edge detection using wavelet transforms," Asian Conference on Computer Vision, Osaka, Nov. 23-25, pp. 520-525, 1993.