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Accurate alignment of sets of images
Author(s) -
SAXTON W. O.
Publication year - 1994
Publication title -
journal of microscopy
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.569
H-Index - 111
eISSN - 1365-2818
pISSN - 0022-2720
DOI - 10.1111/j.1365-2818.1994.tb03449.x
Subject(s) - computation , displacement (psychology) , set (abstract data type) , resolution (logic) , computer science , algorithm , image (mathematics) , artificial intelligence , pattern recognition (psychology) , mathematics , psychology , psychotherapist , programming language
Summary Two modifications to the conventional procedure of cross‐correlation are described, widely used for establishing the relative alignment of the members of a set of images from which a higher resolution or more interpretable restoration is sought. Both achieve a high and sharp peak in circumstances where the conventional peak is too ill defined to be recognizable; neither involves significant additional computation time. The more general method requires rough knowledge of the imaging conditions, but a variant applicable to images with axial resolution has no such requirement. In addition, a least‐squares procedure is presented for achieving an optimum compromise between many pair‐wise displacement measurements, preventing the accumulation of alignment errors across a set of images.