期刊
JOURNAL OF SYNCHROTRON RADIATION
卷 21, 期 -, 页码 456-461出版社
INT UNION CRYSTALLOGRAPHY
DOI: 10.1107/S160057751400023X
关键词
hyperspectral imaging; image alignment; full-field; XAS; SIFT OpenCL; GPU
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.
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