Abstract
Orthogonal moments are recognized as useful tools for object representation and image analysis. It has been shown that the recently developed discrete orthogonal moments have better performance than the conventional continuous orthogonal moments. In this paper, a new set of discrete orthogonal polynomials, namely Hahn polynomials, are introduced. The related Hahn moment functions defined on this orthogonal basis set are investigated and applied to image reconstruction. In experiments, the Hahn moments are compared with the other two discrete orthogonal moments: Chebyshev and Krawtchouk moments. The simulation results show that the Hahn moment-based reconstruction method is superior to the other two discrete orthogonal moment-based methods.
This work was supported by the National Basic Research Program of China under grant No. 2003CB716102 and the National Natural Science Foundation of China under grant No. 60272045.
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Zhou, J., Shu, H., Zhu, H., Toumoulin, C., Luo, L. (2005). Image Analysis by Discrete Orthogonal Hahn Moments. In: Kamel, M., Campilho, A. (eds) Image Analysis and Recognition. ICIAR 2005. Lecture Notes in Computer Science, vol 3656. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11559573_65
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DOI: https://doi.org/10.1007/11559573_65
Publisher Name: Springer, Berlin, Heidelberg
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