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Journal of Electronic Imaging

Explicit Krawtchouk moment invariants for invariant image recognition
Author(s): Bin Xiao; Yanhong Zhang; Linping Li; Weisheng Li; Guoyin Wang
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Paper Abstract

The existing Krawtchouk moment invariants are derived by a linear combination of geometric moment invariants. This indirect method cannot achieve perfect performance in rotation, scale, and translation (RST) invariant image recognition since the derivation of these invariants are not built on Krawtchouk polynomials. A direct method to derive RST invariants from Krawtchouk moments, named explicit Krawtchouk moment invariants, is proposed. The proposed method drives Krawtchouk moment invariants by algebraically eliminating the distorted (i.e., rotated, scaled, and translated) factor contained in the Krawtchouk moments of distorted image. Experimental results show that, compared with the indirect methods, the proposed approach can significantly improve the performance in terms of recognition accuracy and noise robustness.

Paper Details

Date Published: 7 March 2016
PDF: 10 pages
J. Electron. Imaging. 25(2) 023002 doi: 10.1117/1.JEI.25.2.023002
Published in: Journal of Electronic Imaging Volume 25, Issue 2
Show Author Affiliations
Bin Xiao, Chongqing Univ. of Posts and Telecommunications (China)
Yanhong Zhang, Chongqing Univ. of Posts and Telecommunications (China)
Linping Li, Chongqing Univ. of Posts and Telecommunications (China)
Weisheng Li, Chongqing Univ. of Posts and Telecommunications (China)
Guoyin Wang, Chongqing Univ. of Posts and Telecommunications (China)


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