Abstract

Image registration is a crucial step in all image analysis tasks in which the final information is gained from the combination of various data sources, and it is difficult to automatically register due to the complexity of image. An approach based on genetic algorithm and Hausdorff distance to automatic image registration is presented. We use a multi-resolution edge tracker to find out the fine-quality edges and utilize the Hausdorff distance between the input image and the reference image as similarity measure. We use wavelet decomposition and genetic algorithm, which combine local search methods with global ones balancing exploration and exploitation, to speed up the search of the best transformation parameters. Experimental results show that the proposed approach is a promising method for registration of image.

© 2006 Chinese Optics Letters

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  1. B. Zitovt and J. Flusser, Image and Vision Computing 21, 977 (2003).
  2. X. Yang and J. Pei, Chin. Opt. Lett. 3, 510 (2005).
  3. L. Brown, ACM Comput Surv. 24, 325 (1992).
  4. D. P. Huttenlocher, G. A. Klanderman, and W. J. Rucklidge, IEEE Trans. Pottern Anal. Machine Intell. 9, 850 (1993).
  5. W. J. Rucklidge, International Journal of Computer Vision 24, 251 (1997).
  6. M. Y. Shih and D. C. Tseng, Image and Vision Computing 23, 441 (2005).
  7. M. Zhou and S. D. Sun, Genetic Algorithms: Theory and Applications (in Chinese) (National Defence Industry Press, Beijing, 1999).

2005 (2)

M. Y. Shih and D. C. Tseng, Image and Vision Computing 23, 441 (2005).

X. Yang and J. Pei, Chin. Opt. Lett. 3, 510 (2005).

2003 (1)

B. Zitovt and J. Flusser, Image and Vision Computing 21, 977 (2003).

1997 (1)

W. J. Rucklidge, International Journal of Computer Vision 24, 251 (1997).

1993 (1)

D. P. Huttenlocher, G. A. Klanderman, and W. J. Rucklidge, IEEE Trans. Pottern Anal. Machine Intell. 9, 850 (1993).

1992 (1)

L. Brown, ACM Comput Surv. 24, 325 (1992).

Brown, L.

L. Brown, ACM Comput Surv. 24, 325 (1992).

Flusser, J.

B. Zitovt and J. Flusser, Image and Vision Computing 21, 977 (2003).

Huttenlocher, D. P.

D. P. Huttenlocher, G. A. Klanderman, and W. J. Rucklidge, IEEE Trans. Pottern Anal. Machine Intell. 9, 850 (1993).

Klanderman, G. A.

D. P. Huttenlocher, G. A. Klanderman, and W. J. Rucklidge, IEEE Trans. Pottern Anal. Machine Intell. 9, 850 (1993).

Pei, J.

Rucklidge, W. J.

W. J. Rucklidge, International Journal of Computer Vision 24, 251 (1997).

D. P. Huttenlocher, G. A. Klanderman, and W. J. Rucklidge, IEEE Trans. Pottern Anal. Machine Intell. 9, 850 (1993).

Shih, M. Y.

M. Y. Shih and D. C. Tseng, Image and Vision Computing 23, 441 (2005).

Tseng, D. C.

M. Y. Shih and D. C. Tseng, Image and Vision Computing 23, 441 (2005).

Yang, X.

Zitovt, B.

B. Zitovt and J. Flusser, Image and Vision Computing 21, 977 (2003).

ACM Comput Surv. (1)

L. Brown, ACM Comput Surv. 24, 325 (1992).

Chin. Opt. Lett. (1)

IEEE Trans. Pottern Anal. Machine Intell. (1)

D. P. Huttenlocher, G. A. Klanderman, and W. J. Rucklidge, IEEE Trans. Pottern Anal. Machine Intell. 9, 850 (1993).

Image and Vision Computing (2)

M. Y. Shih and D. C. Tseng, Image and Vision Computing 23, 441 (2005).

B. Zitovt and J. Flusser, Image and Vision Computing 21, 977 (2003).

International Journal of Computer Vision (1)

W. J. Rucklidge, International Journal of Computer Vision 24, 251 (1997).

Other (1)

M. Zhou and S. D. Sun, Genetic Algorithms: Theory and Applications (in Chinese) (National Defence Industry Press, Beijing, 1999).

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