GPU Implementation of the Affine Transform for 3D Image Registration

Author

Crookes, Danny ; Boyle, Kevin ; Miller, Paul ; Gillan, Charles

Author_Institution

Inst. of Electron., Commun. & Inf. Technol., Queen´´s Univ. Belfast, Belfast, UK

fYear

2009

fDate

2-4 Sept. 2009

Firstpage

151

Lastpage

155

Abstract

Recent developments in 3D low-light level CCD (L3CCD) image capture have resulted in vast volumes of data being produced in real time which require image registration. The amount of data involved means that acceleration of the processing is essential. One of the key steps in one iterative registration algorithm is the application of an affine transform to all the planes of a 3D image. This paper presents details and performance results for a number of parallelized implementations of the affine transform on the NVIDIA 8800 GPU series, and shows that the transform runs 128 times faster on the GPU than a C++ version on a PC, or 54 times faster when data transfer between the GPU and the host PC is included.

Keywords

CCD image sensors; affine transforms; computer graphics; image registration; 3D image registration; GPU; affine transform; graphical processing unit; iterative registration algorithm; low-light level CCD image capture; Acceleration; Charge coupled devices; Image processing; Image registration; Information technology; Iterative algorithms; Machine vision; Microscopy; Mutual information; Affine transform; GPU; Nvidia 8800GTX; confocal microscopy;

fLanguage

English

Publisher

ieee

Conference_Titel

Machine Vision and Image Processing Conference, 2009. IMVIP '09. 13th International

Conference_Location

Dublin

Print_ISBN

978-1-4244-4875-3

Electronic_ISBN

978-0-7695-3796-2

Type

conf

DOI

10.1109/IMVIP.2009.34

Filename

5319297