A rapid and automatic image registration algorithm with subpixel accuracy

IEEE Transactions on Medical Imaging
R J AlthofJ T Dobbins

Abstract

A number of digital imaging techniques in medicine require the combination of multiple images. Using these techniques, it is essential that the images be adequately aligned and registered prior to addition, subtraction, or any other combination of the images. This paper describes an alignment routine developed to register an image of a fixed object containing a global offset error, rotation error, and magnification error relative to a second image. The described routine uses sparsely sampled regional correlation in a novel way to reduce computation time and avoid the use of markers and human interaction. The result is a fast, robust, and automatic alignment algorithm, with accuracy better than about 0.2 pixel in a test with clinical computed radiography images.

Citations

Aug 27, 2015·Sensors·Ron BerensteinOhad Ben-Shahar
Feb 16, 2011·IEEE Transactions on Pattern Analysis and Machine Intelligence· Chen Xing, Peihua Qiu
Dec 25, 2009·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society·Jinchang RenTheodore Vlachos
Jul 13, 2006·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society·Murat Balci, Hassan Foroosh
Feb 5, 2008·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society·Hassan ForooshMarc Berthod
Jul 2, 2003·IEEE Transactions on Information Technology in Biomedicine : a Publication of the IEEE Engineering in Medicine and Biology Society·Emad FatemizadehHamid Soltanian-Zadeh
Aug 27, 2005·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society·Alistair J FitchJosef Kittler
Feb 4, 2016·IEEE Transactions on Bio-medical Engineering·Dustin Morley, Hassan Foroosh

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