Detection of a Moving Object in the Mellin Transform 


Vol. 27,  No. 2, pp. 157-164, Feb.  2002


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  Abstract

The Mellin Transform is a well-known method ro find out transformations between two overlapping images. This paper models a scene with an object moving with different velocities. Also, it analyzes the relationship of the detected correlation peak to the spectrum of the background and an object. Lastly, we investigate the optimal solution of the image registration parameters minimizing the effect of the noise from the Mellin Transform by applying the Wiener filter concept.

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  Cite this article

[IEEE Style]

S. Park and B. Lee, "Detection of a Moving Object in the Mellin Transform," The Journal of Korean Institute of Communications and Information Sciences, vol. 27, no. 2, pp. 157-164, 2002. DOI: .

[ACM Style]

Su-Hyun Park and Byung-Uk Lee. 2002. Detection of a Moving Object in the Mellin Transform. The Journal of Korean Institute of Communications and Information Sciences, 27, 2, (2002), 157-164. DOI: .

[KICS Style]

Su-Hyun Park and Byung-Uk Lee, "Detection of a Moving Object in the Mellin Transform," The Journal of Korean Institute of Communications and Information Sciences, vol. 27, no. 2, pp. 157-164, 2. 2002.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880