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Image Registration for Sub-Pixel Using Pyramid Edge Images

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Proceedings of the International Conference on IT Convergence and Security 2011

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 120))

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Abstract

Image registration has been widely used in many image processing-related works. But it is difficult to find the accuracy information such as translation, rotation, and scaling between images. This paper proposes a Fourier-based image registration using pyramid edge images and a simple line fitting. Main advantages of the proposed approach are that it can compute the accurate information at sub-pixel precision and can be carried out fast for image registration. The proposed algorithm can be used as a useful tool for image registration that requires high efficiency in many fields including GIS, MRI, CT, image mosaicking, and weather forecasting.

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References

  1. Zitova B, Flusser J (2003) Image registration methods: survey. Image Vision Comput 21(11):977–1000 October Elsevier

    Article  Google Scholar 

  2. Eustice R, Pizarro O, Singh H, Howland J (2002) UWIT: Underwater image toolbox for optical image processing and mosaicking in MATLAB. In: Proceedings of the 2002 international symposium on, Underwater Technology, pp 141–145

    Google Scholar 

  3. Reddy BS, Chatterji BN (1996) An fft-based technique for translation, rotation, scale-invariant image registration. IEEE Trans Image Process IEEE 5(8):1266–1271 August

    Article  Google Scholar 

  4. Canny J (1986) A computational approach to edge detection. IEEE Trans Pattern Anal Mach Intell IEEE 8:679–714 November

    Article  Google Scholar 

  5. Neoh HS Hazanchuk A (2005) Adaptive edge detection for real-time video processing using FPGAs. GSPx 2004 Conference, Altera, May 2005

    Google Scholar 

  6. Press WH, Teukolsky SA, Vetterling WT, Flannery BP (1992) Numerical recipes electronic edition second edition. Cambridge, Chapter 15

    Google Scholar 

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Acknowledgement

This work was supported by Korean Research Foundation under BK21 project.

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Correspondence to Jae-Young Lee .

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© 2012 Springer Science+Business Media B.V.

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Lee, JY., Kim, KB., Lee, SH., Kim, TE., Choi, JS. (2012). Image Registration for Sub-Pixel Using Pyramid Edge Images. In: Kim, K., Ahn, S. (eds) Proceedings of the International Conference on IT Convergence and Security 2011. Lecture Notes in Electrical Engineering, vol 120. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-2911-7_33

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  • DOI: https://doi.org/10.1007/978-94-007-2911-7_33

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  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-007-2910-0

  • Online ISBN: 978-94-007-2911-7

  • eBook Packages: EngineeringEngineering (R0)

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