A locally constrained radial basis function for registration and warping of images

Pattern Recognition Letters

Volumn 30, Issue 4, 2009, Pages 377-390

  Siddiqui, Adil Masood ^a,b   Masood, Asif ^b   Saleem, Muhammad ^a  

^a UNIVERSITY OF ENGINEERING AND TECHNOLOGY   (Pakistan)

^b NATIONAL UNIVERSITY OF SCIENCES AND TECHNOLOGY   (Pakistan)

Author keywords

Image registration; Image warping; Landmarks; Radial basis function

Indexed keywords

ATTITUDE CONTROL; FEEDFORWARD NEURAL NETWORKS; FUNCTIONS; IMAGE ENHANCEMENT; IMAGE REGISTRATION; IMAGE SEGMENTATION; MEDICAL IMAGING; MILITARY OPERATIONS; PROBABILITY DENSITY FUNCTION; RADIAL BASIS FUNCTION NETWORKS; WEAVING;

EVALUATION CRITERIONS; IMAGE WARPING; LANDMARKS; MEDICAL IMAGES; RADIAL BASIS FUNCTION; RIGID REGISTRATIONS; SIMILARITY MEASURES; TRANSFORMATION FUNCTIONS;

FUNCTION EVALUATION;

EID: 58349108678     PISSN: 01678655     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patrec.2008.11.004     Document Type: Article

References (38)

1. Abulhassni, N., Samani, A., 2005. Non-rigid registration using free-form deformation for prostate images. In: Annual Meeting of North American Fuzzy Information Processing Society (NAFIPS).
2. Aczel J., and Daroczy Z. On Measures of Information and Their Characteristics (1975), Academic Press, New York
3. Arad N., and Reisfled D. Image warping using few anchor points and radial functions. Comput. Graphics Forum 14 1 (1995) 35-46
4. Black M., and Yacoob Y. Recognizing facial expressions in image sequences using local parameterized models of image motion. Internat. J. Comput. Vision 25 1 (1997)
5. Bookstein F. Principal warps: Thin-plate splines and the decomposition of deformations. IEEE Trans. Pattern Anal. Machine Intell. 11 6 (1989) 567-585
6. Can A., Stewart C., Roysam B., and Tanenbaum H. A feature-based, robust, Hierarchial algorithm for registering pairs of images of the curved human retina. IEEE Trans. Pattern Anal. Machine Intell. 24 3 (2002) 347-364
7. Cortelazzo G., and Lucchese L. A technique for matching projective views with application to color image mosaicking. ICIP 4 (1999) 108-112
8. Cover T., and Thomas J. Elements of Information Theory (1991), John Wiley and Sons, New York
9. Ehlers M., and Fogel D. High-precision geometric correction of airborne remote sensing revisited: The multiquadric interpolation. Proc. SPIE: Image Signal Process. Remote Sensing 2315 (1994) 814-824
10. Elsen P., and Viergever E.Pol.M. Medical image matching - A review with classification. IEEE Eng. Med. Biology 12 (1993) 26-39
11. Evans A., Dai W., Collins L., Neelin P., and Marrett S. Warping of a computerized 3-D atlas to match brain image volumes for quantitative neuroanatomical and functional analysis. Proc. SPIE 1445 (1991) 236-246
12. Evans A., Dai W., Collins L., Neelin P., and Marrett S. Warping of a computerized 3-D atlas to match brain image volumes for quantitative neuroanatomical and functional analysis. Proc. SPIE 1445 (1991) 236-246
13. Fonseca L., and Manjunath B. Registration techniques for multisensor remotely sensed imagery. Photogramm. Eng. Remote Sensing 62 (1996) 1049-1056
14. Fornefett M., Rohr K., and Stiehl H. Radial basis function with compact support for elastic registration of medical images. Image Vision Comput. 19 (2001) 87-96
15. Gluch E. Results of tests on image matching of ISPRS WG. ISPRS J. Photogramm. Remote Sensing 46 (1991) 1-18
16. Goshtasby A. Image registration by local approximation methods. Image Vision Comput. 6 (1998) 255-261
17. Goshtasby, A., 2006. Fusion of multifocus images to maximize image information. In: Proc. SPIE Defense and Security Symposium. Orlando, Florida.
18. Hill D., Batchelor P., Holden M., and Hawkes D. Medical image registration. Phys. Med. Biology 46 (2001) R1-R45
19. Lester H., and Arridge S. A survey of hierarchical non-linear medical image registration. Pattern Recognition 32 (1999) 129-149
20. Little J., Hill D., and Hawkes D. Deformations incorporating rigid structures. Computer Vision and Image Understanding 66 2 (1997) 223-232
21. Lucchese L., Leorin S., and Cortelazzo G. Estimation of two-dimensional affine transformations through polar curve matching and its application to image mosaicking and remote sensing data registration. IEEE Trans. Image Process. 15 10 (2006) 3008-3019
22. Maintz J., and Viergever M. A survey of medical image registration. Med. Image Anal. 2 (1998) 1-36
23. Majumdar, J., Dilip, Y., 2000. Image registration and target tracking. In: Indian Conf. on Computer Vision, Graphics and Image Processing, 2000.
24. Masood, A., Masood, A., Saleem, M., 2007. A radial basis function for registration of local features in images. In: IEEE Pacific Rim Symposium on Image and Video Technology Santiago - Chile. December 17-19, pp. 651-663.
25. Moigne, J., 1998. First evaluation of automatic image registration methods. In: Proc. Internat. Geoscience and Remote Sensing Symposium. Seattle, Washington, pp. 315-317.
26. Peng, W., Tong, R., Qian, G., Dong, J., 2006. A local registration approach of medical images with niche genetic algorithm. In: 10th Internat. Conf. on Computer Supported Cooperative Work in Design. May 2006, pp. 1-6.
27. Rueckert D., Sonoda L.I., Hayes C., Hill D.L.G., Leach M.O., and Hawkes D.J. Non-rigid registration using free-form deformations: Application to breast MR images. IEEE Trans. Med. Imaging 18 8 (1999) 712-721
28. Rueckert D., Frangi A., and Schnabel J. Automatic construction of 3D statistical deformation models of the brain using non-rigid registration. IEEE Trans. Med. Imaging (2003) 1014-1025
29. Ruprecht D., and Muller H. Free form deformation with scattered data interpolation method. Comput. Supplementum 8 (1993) 261-281
30. Schnabel, J.A., Rueckert, D., Quist, M., Blackall, J.M., Castellano-Smith, A.D., Hartkens, T., Penney, G.P., Hall, W.A., Liu, H., Truwit, C.L., Gerritsen, F.A., Hill, D.L.G., Hawkes, D.J., 2001. A generic framework for non-rigid registration based on non-uniform multi-level free-form deformation. MICCAI 2001.
31. Soligon, O., Mehaute, A., Roux, C., 1997. Facial expressions simulation with radial basis functions. In: Internat. Workshop on Synthetic - Natural Hybrid Coding and Three Dimensional Imaging. 5-9 September, pp. 233-236.
32. Stewart C., Tsai C., and Roysam B. The dual-bootstrap iterative closest point algorithm with application to retinal image registration. IEEE Trans. Med. Imaging 22 11 (2003) 1379-1394
33. Vajada I. Theory of Statistical Inference and Information (1989), Kluwer Academic Publishers, Dordrecht
34. Wang J., and Jiang T. Non-rigid registration of brain MRI using NURBS". Pattern Recognition Lett. 28 (2007) 214-223
35. Wendland H. Piecewise polynomial, positive definite and compactly supported radial functions of minimal degree. Adv. Comput. Math. 4 (1995) 389-396
36. Wen P., Ruofeng T., Guiping Q., and Jinxiang D. A new curves-based local image registration method. Bioinformatics Biomed. Eng. (2007)
37. Zhang Z., and Blum R. A hybrid image registration technique for a digital camera image fusion application. Inf. Fusion 2 (2001) 135-149
38. Zhang, Z., Blum, R., 2001. Image registration for multifocus image fusion. In: Proc. SPIE, vol. 4396, pp. 279-290.