Adaptive robust image registration approach based on adequately sampling polar transform and weighted angular projection function

Zhao Wei; Feng Tao; Wang Jun

doi:10.1117/1.JEI.22.4.043030

16 December 2013 Adaptive robust image registration approach based on adequately sampling polar transform and weighted angular projection function

Zhao Wei, Feng Tao, Wang Jun

Author Affiliations +

Journal of Electronic Imaging, Vol. 22, Issue 4, 043030 (December 2013). https://doi.org/10.1117/1.JEI.22.4.043030

Abstract

An efficient, robust, and accurate approach is developed for image registration, which is especially suitable for large-scale change and arbitrary rotation. It is named the adequately sampling polar transform and weighted angular projection function (ASPT–WAPF). The proposed ASPT model overcomes the oversampling problem of conventional log-polar transform. Additionally, the WAPF presented as the feature descriptor is robust to the alteration in the fovea area of an image, and reduces the computational cost of the following registration process. The experimental results show two major advantages of the proposed method. First, it can register images with high accuracy even when the scale factor is up to 10 and the rotation angle is arbitrary. However, the maximum scaling estimated by the state-of-the-art algorithms is 6. Second, our algorithm is more robust to the size of the sampling region while not decreasing the accuracy of the registration.

Citation Download Citation

Zhao Wei, Feng Tao, and Wang Jun "Adaptive robust image registration approach based on adequately sampling polar transform and weighted angular projection function," Journal of Electronic Imaging 22(4), 043030 (16 December 2013). https://doi.org/10.1117/1.JEI.22.4.043030

Published: 16 December 2013

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