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
Link To Document :
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