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- Title
Image stack alignment in full-field X-ray absorption spectroscopy using SIFT#&95PyOCL.
- Authors
Paleo, Pierre; Pouyet, Emeline; Kieffer, Jérôme
- Abstract
Full-field X-ray absorption spectroscopy experiments allow the acquisition of millions of spectra within minutes. However, the construction of the hyperspectral image requires an image alignment procedure with sub-pixel precision. While the image correlation algorithm has originally been used for image re-alignment using translations, the Scale Invariant Feature Transform (SIFT) algorithm (which is by design robust versus rotation, illumination change, translation and scaling) presents an additional advantage: the alignment can be limited to a region of interest of any arbitrary shape. In this context, a Python module, named SIFT_PyOCL, has been developed. It implements a parallel version of the SIFT algorithm in OpenCL, providing high-speed image registration and alignment both on processors and graphics cards. The performance of the algorithm allows online processing of large datasets.
- Subjects
SPECTRUM analysis; ABSORPTION; ELECTROMAGNETIC waves; IONIZING radiation; CATHODE rays
- Publication
Journal of Synchrotron Radiation, 2014, Vol 21, Issue 2, p456
- ISSN
0909-0495
- Publication type
Article
- DOI
10.1107/S160057751400023X