High-Accuracy Image Rotation and Scale Estimation Using Radon Transform and Sub-Pixel Shift Estimation

Takanori Fujisawa, Masaaki Ikehara

    Research output: Contribution to journalArticle

    2 Citations (Scopus)

    Abstract

    Rotation and scale estimation of images are fundamental tasks in image registration. The conventional estimation method uses log-polar transform and 1D shift estimation to estimate rotation and scale regardless of the shift of images. However, this transform requires interpolation of the frequency components, which causes estimation error. We propose a rotation and scale estimation algorithm based on the Radon transform and sub-pixel shift estimation. The Radon transform can estimate the rotation independent of the shift and can reduce the influence of interpolation error. In addition, sub-pixel shift estimation using a linear approximation of the phase component improves the precision of 1D shift estimation and achieves accurate rotation estimation. The proposed method was evaluated on test images, and the results demonstrate that the proposed method has higher accuracy compared with the log-polar transform.

    Original languageEnglish
    Article number8643346
    Pages (from-to)22719-22728
    Number of pages10
    JournalIEEE Access
    Volume7
    DOIs
    Publication statusPublished - 2019 Jan 1

    Keywords

    • Image registration
    • phase only correlation
    • rotation estimation
    • scale estimation

    ASJC Scopus subject areas

    • Computer Science(all)
    • Materials Science(all)
    • Engineering(all)

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