An efficient approach for robust multimodal retinal image registration based on UR-SIFT features and PIIFD descriptors

Eurasip Journal on Image and Video Processing

Volumn 2013, Issue , 2013, Pages

  Ghassabi, Zeinab ^a   Shanbehzadeh, Jamshid ^b   Sedaghat, Amin ^c   Fatemizadeh, Emad ^d  

^a ISLAMIC AZAD UNIVERSITY   (Iran)

^b KHARAZMI UNIVERSITY   (Iran)

^c K N TOOSI UNIVERSITY OF TECHNOLOGY   (Iran)

^d SHARIF UNIVERSITY OF TECHNOLOGY   (Iran)

Author keywords

Feature distinctiveness; Multimodal image registration; Retinal images; Scale invariance; Uniform spatial and scale distribution

Indexed keywords

FEATURE DISTINCTIVENESS; MULTIMODAL IMAGE REGISTRATION; RETINAL IMAGE; SCALE DISTRIBUTIONS; SCALE INVARIANCE;

ALGORITHMS; COLOR; FEATURE EXTRACTION; IMAGE FUSION; IMAGE MATCHING; IMAGE REGISTRATION; OPHTHALMOLOGY;

EDGE DETECTION;

EID: 84887102045     PISSN: 16875176     EISSN: 16875281     Source Type: Journal    
DOI: 10.1186/1687-5281-2013-25     Document Type: Article

References (50)

1. Dithmar S, Holz FG: Fluorescence Angiography in Ophthalmology. Springer Medizin Verlag, Hiedelberg; 2008.
2. National Eye Institute: Eye health information. http://www.nei.nih.gov/ health/. Accessed 27 May 2012
3. Zitova B, Flusser J: Image registration methods: a survey. Image. Vis. Comput 2003, 21:977-1000. http://www.sciencedirect.com/science/article/pii/ S0262885603001379
4. Goshtasby AA: 2-D and 3-D Image Registration for Medical, Remote Sensing, and Industrial Applications. Wiley, Hoboken; 2005.
5. Matsopoulos GK, Asvestas MPA, Mouravliansky NA, Delibasis KK: Multimodal registration of retinal images using self organizing maps. IEEE Trans. on Med. Imaging 2004, 12:1557-1563. doi:10.1109/TMI.2004.836547
6. Laliberte F, Gagnon L, Sheng Y: Registration and fusion of retinal images - an evaluation study. IEEE Trans. Med. Imag 2003, 22:661-673. doi:10.1109/TMI.2003.812263
7. Ghassabi Z, Shanbehzadeh J: A study of retinal image registration and mosaicking. In Proceedings of International Conference on Information and Computer Applications. Dubai; 18-20 March 2011.
8. Tsai CL, Madore B, Leotta M, Sofka M, Yang G, Majerovics A, Tanenbaum HL, Stewart CV, Roysam B: Automated retinal image analysis over the internet. IEEE Trans. Inform. Tech. Biomed 2008, 12:480-487. doi:10.1109/TITB.2007.908790
9. Tae C: Eun, I Cohen, 2-D registration and 3-D shape inference of the retinal fundus from fluorescein images. Med. Image Anal 2008, 12:1174-1190. doi:10.1016/j.media.2007.10.002 (Pubitemid 351494758)
10. Matsopoulos GK, Mouravliansky NA, Delibasis KK, Nikita KS: Automatic retinal image registration scheme using global optimization techniques. IEEE Trans. Inform. Tech. Biomed 1999, 3:47-60. doi:10.1109/4233.748975
11. Ritter N, Owens R, Cooper J, Eikelboom R, van Saarloos P: Registration of stereo and temporal images of the retina. IEEE Trans. Med. Imag 1999, 18:404-418. doi:10.1109/42.774168
12. Kubecka L, Jan J: Registration of bimodal retinal images - improving modifications. In Proceeding of 26th IEEE Symposium on Engineering in Medicine and Biology Society. San Francisco; 2004:1-5.
13. Chanwimaluang T, Fan G, Fransen SR: Hybrid retinal image registration. IEEE Trans. Info. Tech. Biomed 2006, 10:129-142. doi:10.1109/TITB.2005.856859 (Pubitemid 43092326)
14. Wei W, Houjin C, Jupeng L, Jiangbo Y: A registration method of fundus images based on edge detection and phase-correlation. In Proceeding of the First IEEE Symposium on Innovative Computing, Information Control. Beijing; 30 August-1 September 2006.
15. Zana F, Klein JC: A registration algorithm of eye fundus images using a Bayesian Hough transform. In Proceedings of the Seventh International Conference of Image Processing and Its Applications. Manchester; July 1999:13-15.
16. Brown LG: A survey of image registration techniques. ACM Comput. Surv 1992, 24:325-376. doi:10.1145/146370.146374 (Pubitemid 23687640)
17. Yu J, Hung C, Liou BN: Fast algorithm for digital retinal image alignment. In Proceedings of IEEE International Conference on Engineering in Medicine and Biology Society. Seattle; November 1989:9-12.
18. Can A, Stewart CV, Roysam B, Tanenbaum HL: A feature-based, robust, hierarchical algorithm for registering pairs of images of the curved human retina. IEEE Trans. Pattern Anal. and Mach. Intell 2002, 24:347-364. doi:10.1109/34.990136 (Pubitemid 35289351)
19. Tsai C-L, Stewart CV, Tanenbaum HL, Roysam B: Model-based method for improving the accuracy and repeatability of estimating vascular bifurcations and crossovers from retinal fundus images. IEEE Trans. Info. Tech. in Biomed 2004, 8:122-130. doi:10.1109/TITB.2004.826733
20. Chen J, Tian J, Lee N, Zheng J, Smith T, Laine F: A partial intensity invariant feature descriptor for multimodal retinal image registration. IEEE Trans. Biomed. Eng 2010, 57:1707-718. doi:10.1109/TBME.2010.2042169
21. Schmid C, Mohr R, Bauckage C: Evaluation of interest point detectors. Int. J. Comput. Vis 2000, 37:151-172. doi:10.1023/A:1008199403446
22. Lowe DG: Distinctive image features from scale-invariant keypoints. Int. J. Comput. Vis 2004, 2:91-110. doi:10.1023/B:VISI.0000029664.99615.94
23. Witkin AP: Scale-space filtering. In Proceedings of the 8th International Conference on Artificial Intelligence. Karlsruhe; August 1983:8-12.
24. Jupeng L, Houjin C, Chang Y, Xinyuan Z: A robust feature-based method for mosaic of the curved human color retinal images. In Proceedings of Biomedical Engineering and Informatics. Sanya, Hainan; May 2008:27-30.
25. Tsai CL, Li CY, Yang G, Lin KS: The edge driven dual-bootstrap iterative closest point point algorithm for registration of multimodal fluorescein angiogram sequences IEEE Trans. Med. Imag 2010, 29:636-649. doi:10.1109/TMI. 2009.2030324.
26. Stewart CV, Tsai CL, Roysam B: The dual-bootstrap iterative closest point algorithm with application to retinal image registration. IEEE Trans. Med. Imag 2003, 22:1379-1394. doi:10.1109/TMI.2003.819276
27. Li C, Xiao-Long Z: Retinal image registration using bifurcation structures. In Proceedings of the 18th IEEE International Conference of Image Processing. Brussels; 2011:11-14.
28. Zana F, Klein JC: A multimodal registration algorithm of eye fundus images using vessels detection and Hough transform. IEEE Trans. Med. Imag 1999, 18:419-428. doi:10.1109/42.774169
29. Gang L, Stewart CV, Roysam B, Fritzsche K, Gehua Y, Tanenbaum HL: Predictive scheduling algorithms for real-time feature extraction and spatial referencing: application to retinal image sequences. IEEE Trans. Biomed. Eng 2004, 51:115-125. doi:10.1109/TBME.2003.820332 (Pubitemid 38016202)
30. Aguilar W, Frauel Y, Escolano F, Martinez-Perez ME, Espinosa-Romero A, Lozano MA: A robust graph transformation matching for non-rigid registration. J. Image and Vis. Comput 2008, 27:897-910. doi:10.1016/j.imavis.2008.05.004
31. Hart WE, Goldbaum MH: Registering retinal images using automatically selected control point pairs. In Proceedings of IEEE International Conference of Image Processing. Austin; November 1994:13-16.
32. Markaki VE, Asvestas PA, Matsopoulos GK: Application of Kohonen network for automatic point correspondence in 2D medical images. Comput. Biol. Med 2009, 39:630-645.
33. Ryan N, Heneghan C, de Chazal P: Registration of digital retinal images using landmark correspondence by expectation maximization. Image Vis. Comput 2004, 22:883-898. doi:10.1016/j.imavis.2004.04.004
34. de Ves E, Wilson RC, Hancock ER: Matching blood vessel patterns with the generalised EM algorithm. In Proceedings of the 14th International Conference on Pattern Recognition. Brisbane; August 1998:16-20.
35. Mikolajczyk K, Schmid C: A performance evaluation of local descriptors. IEEE Trans. Pattern Anal. Mach. Intell 2005, 27:1615-1630. doi:10.1109/TPAMI. 2005.188 (Pubitemid 41555406)
36. Lowe D: SIFT demo program, Version 4. 2005. http://www.cs.ubc.ca/spider/ lowe/keypoints/. Accessed 27 May 2012
37. LiFang Wei W, LinLin H, Lin P, Lun Y: The retinal image registration based on scale invariant feature. In Proceedings of IEEE 3rd International Conference on Biomedical Engineering and Informatics. Yantai; October 2010:16-18.
38. LiFang Wei W, LinLin H, Lin P, Lun Y: The retinal image mosaic based on invariant feature and hierarchical transformation models. In Proceedings of IEEE 2nd International Conference on Image and Signal Processing. Tianjin; October 2009:17-19.
39. Kelman A, Sofka M, Stewart CV: Keypoint descriptors for matching across multiple image modalities and nonlinear intensity variations. In Proceedings of IEEE Symposium on Computer Vision and Pattern Recognition. Minneapolis; June 2007:17-22.
40. Yuping L, Medioni G: Retinal image registration from 2D to 3D. In Proceedings of IEEE Symposium on Computer Vision and Pattern Recognition. Anchorage; 23-28 June 2008.
41. Zheng J, Tian J, Deng K, Dai X, Zhang X, Xu M: Salient feature region: a new method for retinal image registration. IEEE Trans. Inform. Tech. Biomed 2011, 15:221-232. doi:10.1109/TITB.2010.2091145
42. Tsai CL, Huang S-T, Lin K-S, Chen S-J: Robust pairwise registration for images of indocyanine-green angiographic sequences. In Proceedings of IEEE 10th Symposium on Pervasive Systems, Algorithms and Networks. Kaohsiung; 14-16 December 2009.
43. Chen J, Tian J: Real-time multi-modal rigid registration based on a novel symmetric-SIFT descriptor. Progr. Nat. Sci 2009, 19:643-651. doi:10.1016/j.pnsc.2008.06.029
44. Fischler MA, Bolles RC: Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography. Comm. ACM 1981, 381-395. doi:10.1145/358669.358692 (Pubitemid 12444102)
45. Park J, Keller JM, Gader PD, Schuchard RA: Hough based registration of retinal images. In Proceedings of IEEE International Conference on Systems, Man and Cybernetics. San Diego; 11-14 October 1998.
46. Sedaghat A, Mokhtarzadee M, Ebadi H: Uniform robust scale-invariant feature matching for optical remote sensing images. IEEE trans. Geosci. Rem. Sens 2011, 49:4516-4527. doi:10.1109/TGRS.2011.2144607
47. Stewart C: Robust parameter estimation in computer vision. SIAM Rev 1999, 41:513-537. doi:10.1137/S0036144598345802 (Pubitemid 30538509)
48. ZEISS: Retinal Atlas. http://www.zeiss.de/czj/de/op/en/zeiss/index- frames.html, Accessed 12 May 2012
49. Bathina YB, Kartheek NV, Sivaswamy J: Robust matching of multimodal retinal images using a Radon transform based local descriptor. In Proceedings of the 1st ACM International health informatics Symposium (IHI). Arlington; 11-12 November 2010.
50. Kelman A, Sofka M, Stewart CV: Keypoint descriptors for matching across multiple image modalities and non-linear intensity variations. In Proceedings of the IEEE Computer Society Workshop on Image Registration and Fusion (in conjunction with IEEE CVPR). Minneapolis; 18-23 June 2007.