The retinal image mosaic based on invariant feature and hierachical transformation models

Proceedings of the 2009 2nd International Congress on Image and Signal Processing, CISP'09

Volumn , Issue , 2009, Pages

  Wei, LiFang ^a   Huang, LinLin ^a   Pan, Lin ^a   Yu, Lun ^a  

^a FUZHOU UNIVERSITY   (China)

Author keywords

Image mosaic; Invariant feature; Retinal image; Transformation models

Indexed keywords

AFFINE TRANSFORMATIONS; HUMAN EYE; IMAGE MOSAIC; INVARIANT FEATURES; KEYPOINTS; M-ESTIMATORS; PRINCIPAL COMPONENTS ANALYSIS; RANDOM SAMPLE CONSENSUS; RETINAL IMAGE; SCALE INVARIANT FEATURE TRANSFORMS; TRANSFORMATION MODEL; WEIGHTED MEAN;

PRINCIPAL COMPONENT ANALYSIS; SIGNAL PROCESSING; WIRELESS SENSOR NETWORKS;

OPHTHALMOLOGY;

EID: 73849106244     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CISP.2009.5302200     Document Type: Conference Paper

References (15)

1. J. B. A. Maintz and M. A. Viergever, "A survey of medical image registration,"Med. Image Anal., vol. 2, no. 1, 1998, pp. 1-36
2. A. Can, C. Stewart, B. Roysam, and H. Tanenbaum, "A feature-based, robust, hierarchical algorithm for registering pairs of images of the curved human retina," IEEE Trans. Pattern Anal. Mach. Intell., vol. 24, Mar. 2002. 347-364
3. C. V. Stewart, C. L. Tsai, and B. Roysam, "The dual-bootstrap iterative closest point algorithm with application to retinal image registration,"IEEE Trans. Med. Imag., vol. 22, no. 11, Nov. 2003.pp. 1379-1394
4. C. L. Tsai, C.V. Stewart, B. Roysam, and H. L. Tanenbaum, "Covariance driven retinal image registration initialized from small sets of landmark correspondences," in Proc. IEEE Int. Symp. Biomed. Imag., Jul. 2002,pp. 333-336.
5. L. Ballerini, "Temporal matched filters for integration of ocular fundus images," in Proc. IEEE Conf. Digital Signal Processing, vol. 2, Jul. 1997,pp. 1161-1164.
6. M. Skokan, A. Skoupy, and J. Jan, "Registration ofmultimodal images of retina," in Proc. IEEE Conf. Eng. Med. Biol., vol. 2, Oct. 2002, pp. 1094-1096.
7. LI Jupeng, CHEN Houjin, et al, "A Robust Feature-Based Method for Mosaic of the Curved Human Color Retinal Images",In: Proceedings of IEEE International Conference on BioMedical Engineering and Informatics,2008,pp:845- 849
8. C. Heneghan, P. Maguire, N. Ryan, and P. de Chazal, "Retinal image registration using control points," in Proc. 2002 IEEE Int. Symp. Biomedical Imaging, Jul. 2002, pp. 349-352.
9. Bin Fang and Yuan Yan Tang, "Elastic Registration for Retinal Images Based on Reconstructed Vascular Trees",IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, VOL. 53, NO. 6, JUNE 2006 1183-1187
10. D. Lowe. Object Recognition from Local Scale-Invariant Features. In Procs of the International Conference on Computer Vision, Corfu, Greece, September 1999. pp: 1150-1157.
11. David G.Lowe. Distinctive Image Features from Scale-Invariant Keypoints. IJCV,2004
12. Ke Y, Sukthankar R. A more distinctive representation for local image descriptors. In: Proceedings of IEEE InternationalConference on ComputerVision and Pattern Recognition, Washington, DC, USA, 2004, 2: 504-513.
13. L I J ing, YANG Tao, Invariant Feature Based Automatic Motion Video Registration. Journal of Image and Graphics.Vol. 13, No. 2 Feb. , 2008 335-344
14. Fischler M A,Bolles R C.Random sample consensus:a paradigm for model fitting with application to image analysis and automated cartography. Communication of the ACM,1981,24(6):381-395.
15. Charles V. Stewart,Robust Parameter Estimation in Coputer Vision, society for industrial and applied mathematics,1999, 513-537