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Image registration and distortion correction in ion microscopy
Author(s) -
Olivo J. C.,
Kahn E.,
Halpern S.,
Fragu P.
Publication year - 1991
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.1365-2818.1991.tb03212.x
Subject(s) - distortion (music) , artificial intelligence , transformation (genetics) , computer vision , image registration , computer science , image (mathematics) , geometric transformation , basis (linear algebra) , mathematics , geometry , chemistry , computer network , amplifier , biochemistry , bandwidth (computing) , gene
SUMMARY We present a method whereby the geometric registration of a series of ion microscopic images is performed by applying a two‐step procedure. After applying a global linear transformation that corrects for geometric differences, a non‐linear elastic transform is used in order to match local properties and structures of the images. Transformation parameters are computed on the basis of shape‐specific points in the images. Distortion correction is achieved by relating ion images to the optical image of the same field and by using the two‐step algorithm to register the images. This methodology is evaluated on synthetic misaligned objects and on thyroid tissue images.