DocumentCode
1587894
Title
Research on Registration of Human Eye Tissue Images and Its Application
Author
Huang, Xiaoyang ; Wang, Boliang ; Ju, Ying ; Huang, Shaohui ; Xie, Jiezhen ; Huang, Liwei
Author_Institution
Dept. of Inf. Sci. & Technol., Xiamen Univ.
fYear
2006
Firstpage
6332
Lastpage
6335
Abstract
Some methods for registration of human eyes tissue images were described in this paper. Firstly, the algorithm of moment and principal axes was used to register the image sequence of eye´s tissue slices in the rough. Then, a modified segmentation-counting registration algorithm was proposed to register the image sequence more accurately, which is not only as precision as maximization of mutual information registration algorithm but also more effectively than it. It was proved by experimentation that this algorithm can 10 times quicken the speed of the maximization of mutual information registration algorithm. Some kinds of optimization algorithms, such as Powell, Brent, Gloden Section and the second-degree interpolation algorithms, had been applied to the registration of the image sequence. The results of the experimentations showed that the registration speed can be accelerated more than 300 times faster with these algorithms
Keywords
biological tissues; eye; image registration; image segmentation; image sequences; interpolation; medical image processing; optimisation; Brent interpolation algorithm; Gloden Section interpolation algorithm; Powell interpolation algorithm; human eye tissue; image registration; image sequence; information registration algorithm; maximization; moment algorithm; optimization algorithms; principal axes algorithm; second-degree interpolation algorithm; segmentation-counting registration algorithm; Acceleration; Eyes; Histograms; Humans; Image registration; Image segmentation; Image sequences; Interpolation; Mutual information; Pixel;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society, 2005. IEEE-EMBS 2005. 27th Annual International Conference of the
Conference_Location
Shanghai
Print_ISBN
0-7803-8741-4
Type
conf
DOI
10.1109/IEMBS.2005.1615945
Filename
1615945
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