A fast algorithm to estimate mutual information for image registration

Proceedings of the 9th International Conference for Young Computer Scientists, ICYCS 2008

Volumn , Issue , 2008, Pages 720-724

  Hu, Yongxiang ^a,b   Tang, Jingtian ^a   Jiang, Hong ^b   Peng, Sancheng ^b  

^a CENTRAL SOUTH UNIVERSITY   (China)

^b HUNAN UNIVERSITY OF TECHNOLOGY   (China)

Author keywords

Fast gauss transform; Image registration; K center clustering; Mutual information

Indexed keywords

FAST ALGORITHMS; FAST GAUSS TRANSFORM; FAST GAUSS TRANSFORMS; GAUSS FUNCTIONS; K-CENTER CLUSTERING; KERNEL FUNCTIONS; LINEAR TIME COMPLEXITIES; MUTUAL INFORMATION; MUTUAL INFORMATION FUNCTIONS; NEW ALGORITHMS; REGISTRATION PARAMETERS; TIME COMPLEXITIES;

ADAPTIVE ALGORITHMS; CLUSTERING ALGORITHMS; FUNCTIONS; IMAGE REGISTRATION; PROBABILITY DENSITY FUNCTION;

FEATURE EXTRACTION;

EID: 58349092754     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICYCS.2008.372     Document Type: Conference Paper

References (14)

1. Lisa G. Brown, "A survey of image registration techniques", ACM Computing Surveys, 1992,24(4), pp. 325-376.
2. J.B.A. Maintz, M.A. Viergever, "An Overview of Medical Image Registration Methods", Medical Image Analysis, 1998,2(2), pp. 1-36.
3. Barbara Zitova, Jan Flusser, "Image registration methods: a survey", Image and Vision Computing, 2003, pp.977-1000.
4. Viola, P., Wells III, W.M. "Alignment by maximization of mutual information", International Journal of Computer Vision, 1995, pp. 137-154.
5. Maes, F., Collignon, A., Vandermeulen, D., Marchal, G., Suetens, P.: Multimodality image registration by maximization of mutual information. IEEE Transactions on Medical Imaging , 1995, pp. 187 - 198
6. Pluim, J.P.W., Maintz, J.B.A., Viergever, M.A." Image registration by maximization of combined mutual information and gradient information", IEEE Trans. Med. Imaging 19, 2000, pp. 809- 814.
7. Rueckert, D., Clarkson, M.J., Hill, D.L.G., Hawkes, D.J. " Non-rigid registration using higher-order mutual information", Medical Imaging 2000: Image Processing Proc. SPIE 3979, 2000, pp. 438- 447.
8. LuZhen Tai, ChenWu Fan, "Medical image registration using co-occurrence mutual information", Chinese journal of computers, 2007,30(6), pp. 1022-1027
9. L. Greengard and J. Strain. "The fast Gauss transform", SIAM J. Sci. Stat. Comput., 1991, 12(1), pp.79- 94.
10. J. Strain. "The fast Gauss transform with variable scales", SIAM J Sci. Stat. Comput., 1991 12(5), pp.1131-1139.
11. L. Greengard and X. Sun. "A new version of the fast Gauss transform", In Proceedings of the
12. International Congress of Mathematicians, III(ExtraVol.III) 1998, pp.575-584.
13. C. Yang, R. Duraiswami, N. Gumerov, and L. Davis. "Improved fast Gauss transform and efficient kernel density estimation", In Proc. ICCV 2003, Nice, France,2003,pp.464-471.
14. T. Gonzalez. "Clustering to minimize the maximum intercluster distance", Theoretical Computer Science, 1985,38:293-306.