Abstract
Phase correlation based template matching is an efficient tool for translation estimation which is in turn required for the image registration and the object tracking applications. When a template of an object is phase correlated with the search image, the resulting correlation surface is supposed to contain a sharp peak corresponding to the location of the object in the search image. However, the resulting surface also contains various false peaks which are sometimes higher in magnitude than the true peak. In order to solve the problem, we present an efficient and effective preprocessing technique that extends the images with new pixels having decaying values. The technique is compared with two recent methods on cluttered, noisy, blurred, and slightly rotated scenes. The results show that the proposed method outperforms both of them, especially when the object is away from the central region in the image.
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© 2008 Springer-Verlag Berlin Heidelberg
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Ahmed, J., Jafri, M.N. (2008). Improved Phase Correlation Matching. In: Elmoataz, A., Lezoray, O., Nouboud, F., Mammass, D. (eds) Image and Signal Processing. ICISP 2008. Lecture Notes in Computer Science, vol 5099. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-69905-7_15
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DOI: https://doi.org/10.1007/978-3-540-69905-7_15
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