FAST GLOBAL IMAGE REGISTRATION USING RANDOM PROJECTIONS

Author

Healy, Dennis M. ; Rohde, Gustavo K.

Author_Institution

Dept. of Math., Maryland Univ., College Park, MD

fYear

2007

fDate

12-15 April 2007

Firstpage

476

Lastpage

479

Abstract

We describe a new method for efficiently computing the global optimum of least squares registration problems based on the recently developed theory of signal processing using random projections. The method is especially attractive for large scale registration problems where the goal is to register many images to a standard template. We test our new algorithm using real images of cells´ nuclei and show our method can outperform more traditional dimension reduction methods such as projections onto lower dimensional B-spline function spaces

Keywords

cellular biophysics; image registration; least squares approximations; medical image processing; B-spline function spaces; cell nuclei; fast global registration; global optimum computation; image registration; large scale registration problems; least squares registration; random projections; signal processing theory; Digital images; Educational institutions; Image registration; Least squares approximation; Least squares methods; Mathematics; Optimization methods; Pixel; Signal processing algorithms; Spline;

fLanguage

English

Publisher

ieee

Conference_Titel

Biomedical Imaging: From Nano to Macro, 2007. ISBI 2007. 4th IEEE International Symposium on

Conference_Location

Arlington, VA

Print_ISBN

1-4244-0672-2

Electronic_ISBN

1-4244-0672-2

Type

conf

DOI

10.1109/ISBI.2007.356892

Filename

4193326