A faster 1-D phase-only correlation-based method for estimations of translations, rotation and scaling in images

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3 Citations (Scopus)

Abstract

This paper presents a faster one-dimensional (1-D) phaseonly correlation (POC)-based method for estimations of translations, rotation, and scaling in images. The proposed method is to project twodimensional (2-D) images horizontally and vertically onto 1-D signals, and uses 1-D POCs of the 1-D signals to estimate the translations in images. Combined with a log-polar transform, the proposed method is extended to scaling and rotation estimations. Compared with conventional 2-D and 1-D POC-based methods, the proposed method performs in a lower computational cost. Experimental results demonstrate that the proposed method is capable of estimating large translations, rotation and scaling in images, and its accuracy is comparable to those of the conventional POC-based methods. The experimental results also show that the computational cost of the proposed method is much lower than those of the conventional POC-based methods.

Original languageEnglish
Pages (from-to)809-819
Number of pages11
JournalIEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
VolumeE96-A
Issue number3
DOIs
Publication statusPublished - 2014

Keywords

  • Image registration
  • Log-polar transform
  • Phase-only correlation
  • Rotation
  • Scaling
  • Translations

ASJC Scopus subject areas

  • Signal Processing
  • Computer Graphics and Computer-Aided Design
  • Electrical and Electronic Engineering
  • Applied Mathematics

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