Advancements in 2D/3D Image Registration Methods

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    13 Scopus citations


    In this paper, we present methods for identifying an image from a given set of Radon projections. Given a suitably regular 2-D or 3-D function, we form a new function g from f using a linear transformation. We show how the Radon projections of f and g can be used to determine the transformation. The proposed algorithms introduce three major contributions: 1) Improvements on the 2-D setting using the moments of the Radon projections with only two orthogonal projections. 2) A natural extension of the 2-D setting to work with the 3-D setting. In particular, reducing the 3-D problem to a 2-D problem so that we can recover a translation, a scaling, or a rotation transformation of a 3-D object in the Radon domain. 3) An efficient method of recovering a rotation of a 3-D image around an arbitrary axis and an angle of rotation.

    Original languageBritish English
    Pages (from-to)34698-34708
    Number of pages11
    JournalIEEE Access
    StatePublished - 2023


    • affine transformation
    • Digital watermarking
    • linear transformation
    • radon transform


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