Image registration using robust M-estimators

Pattern Recognition Letters

Volumn 28, Issue 15, 2007, Pages 1957-1968

  Arya, K V ^a   Gupta, P ^b   Kalra, P K ^b   Mitra, P ^c  

^a M J P ROHILKHAND UNIVERSITY   (India)

^b INDIAN INSTITUTE OF TECHNOLOGY KANPUR   (India)

^c INDIAN INSTITUTE OF TECHNOLOGY   (India)

Author keywords

Huber statistics; Influence function; M estimator; Normalized cross correlation; Robust statistics; Tukey statistics

Indexed keywords

ALGORITHMS; CORRELATION METHODS; PIXELS; PROBLEM SOLVING; STATISTICS;

HUBER STATISTICS; INFLUENCE FUNCTION; M-ESTIMATORS; NORMALIZED CROSS-CORRELATION; ROBUST STATISTICS; TUKEY STATISTICS;

IMAGE REGISTRATION;

EID: 34548701789     PISSN: 01678655     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patrec.2007.05.006     Document Type: Article

References (34)

1. Aggarwal J.K., Davis L.S., and Martin W.N. Correspondence processes in dynamic scene analysis. Proc. IEEE 69 5 (1981) 562-571
2. Barnea D., and Silverman H. A class of algorithms of fast digital image registration. IEEE Trans. Comput. 21 2 (1972) 179-186
3. Barrow, H.G., Tanenbaum, J.M., Balles, R.C., Wolf, H.C., 1977. Parametric correspondence and chamfer matching: Two new techniques for image matching. In: Proc. Fifth Internat. Joint Conf. on Artificial Intelligence, pp. 659-663.
4. Black M., and Rangarajan A. On the unification of line processes, outlier rejection, and robust statistics with applications in early vision. Internat. J. Comput. Vision 19 1 (1996) 57-91
5. Borgefors G. Hierarchical chamfer matching: A parametric edge matching algorithm. IEEE Trans. Pattern Anal. Machine Intell. 10 6 (1988) 849-865
6. Brown L.G. A survey of image registration techniques. ACM Comput. Surveys 24 4 (1992) 326-376
7. Dai X., and Khorram S. A feature-based image registration algorithm using improved chain-code representation combined with invariant moments. IEEE Trans. Geosci. Remote Sens. 37 5 (1999) 2351-2362
8. Flusser J., and Suk T. A moment-based approach to registration of images with affine geometric distortion. IEEE Trans. Geosci. Remote Sens. 32 2 (1994) 382-387
9. Freeman H. computer processing of line drawing images. Comput. Surveys 6 (1974) 57-98
10. Ghaffary, B.K., Sawechuk, A.A., 1983. A survey of new techniques for image registration and mapping. In: Proc. SPIE: Applications of Digital Image Processing 432, pp. 222-239.
11. Goshtasby A. Registration of images with geometric distortions. IEEE Trans. Geosci. Remote Sensing 26 1 (1988) 60-64
12. Goshtasby A., Stockman G.C., and Page C.V. A region-based approach to digital image registration with subpixel accuracy. IEEE Trans. Geosci. Remote Sensing 24 3 (1986) 390-399
13. Hampel F.R., Ronchetti E.M., Rousseeuw P.J., and Stahel W.A. Robust Statistics: The Approached Based on Influence Function (1986), John Wiley & Sons, NY
14. Huber P.J. Robust Statistics (1981), John Wiley & Sons, NY
15. Kaneko S., Murase I., and Igarashi S. Robust image registration by increment sign correlation. Pattern Recognition 35 10 (2002) 2223-2234
16. Kaneko S., Satoh Y., and Igarashi S. Using selective correlation coefficient for robust image registration. Pattern Recognition 36 5 (2003) 1165-1173
17. Lai S.-H. Robust image alignment under partial occlusion and spatially varying illumination change. Comput. Vision Image Understanding 78 (2000) 84-98
18. Li H., Manjunath B.S., and Mitra S. A contour-based approach to, multisensor image registration. IEEE Trans. Image Process. 4 3 (1995) 320-334
19. Maes F., Collignon A., Vanderneulen D., and Suetens P. Multi-modality image registration by maximization of mutual information. Proc. Workshop on Mathematical Methods in Biomedical Image Analysis (1996), IEEE Computer Society Press 14-22
20. Montesinos P., Gouet V., Deriche R., and Pele D. Matching color uncalibrated image using differential invariants. Image Vision Comput. 18 9 (2000) 659-671
21. Pluim J.P.W., Maintz J.B.A., and Viergever M.A. Image registration by maximization of combined mutual information and gradient information. IEEE Trans. Med. Imaging 19 8 (2000) 809-814
22. Rey W.J.J. Introduction to Robust and Quasi-robust Statistical Methods (1983), Springer-Verlag, Berlin Heidelberg
23. Roche A., Malandain G., and Ayache N. Unified maximum likelihood approaches in medical image registration. Internat. J. Imaging Systems Technol. 11 1 (2000) 71-80
24. Saghri J.A., and Freeman H. Analysis of the precision of generalized chain codes for the representation of planar curves. IEEE Trans. Pattern Anal. Machine Intell. 3 5 (1981) 533-539
25. Sester, M., Hild, H., Fritsch, D., 1998. Definition of ground control feature for image registration using gis data. In: Proc. ISPRS Commission III Symp. on Object Recognition and Scene Classification from Multispectral and Multisensor Pixels, OH, pp. 537-543.
26. Shekhar C., Govindu V., and Chellapa R. Multisensor image registration by feature consensus. Pattern Recognition 32 1 (1999) 39-52
27. Stockman G., Kopstein F., and Benett S. Matching image to models for registration and object detection via clustering. IEEE Trans. Pattern Anal. Machine Intell. 4 3 (1982) 229-241
28. Tukey J.W. Exploratory Data Analysis (1977), Addison-Wesley Publishers, Cy
29. Venot, A., Lebruchec, J.F., Roucayrol, J.C., 1984. A new class of similarity measure for robust image registration. In: Proc. CVGIP 28, pp. 176-184.
30. Viola P., and Wells W.M. Alignment by maximization of mutual information. Internat. J. Comput. Vision 24 2 (1997) 137-154
31. Wells W., Viola P., Atsumi H., Nakajima S., and Kikinis R. Multi-modal volume registration by maximization of mutual information. Med. Image Anal. 1 1 (1996) 35-51
32. Zana F., and Klein J.C. A multimodal registration algorithm of eye fundus images using vessels detection and Hough transform. IEEE Trans. Med. Imaging 18 5 (1999) 419-428
33. Zhu M. Volume image registration by cross-entropy optimization. IEEE Trans. Med. Imaging 21 2 (2002) 174-180
34. Zitova B., and Flusser J. Image registration methods: A survey. Image Vision Comput. 21 11 (2003) 977-1000