Image registration based on the quadratic sum of phase correlation

Wei Lian, Yan Liang, Yong Mei Cheng, Quan Pan, Hong Cai Zhang

Research output: Contribution to journalArticlepeer-review

Abstract

A method for two-image registration with rigid transformation is proposed. It directly constructs an evaluation function of rotations, which comes from the quadratic sum of the one dimensional phase correlation between the randon transforms in the two aligned images. The coordinate of the maximum value of this function yields the estimate for rotation angle. Experimental results show that the proposed method outperforms phase-only bispectrum based method, and it can estimate both arbitrary rotations and medium translations robustly and accurately.

Original languageEnglish
Pages (from-to)162-166
Number of pages5
JournalMoshi Shibie yu Rengong Zhineng/Pattern Recognition and Artificial Intelligence
Volume20
Issue number2
StatePublished - Apr 2007

Keywords

  • Image registration
  • Phase correlation
  • Randon transformation

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