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| Title: | A New Class of Rotational Invariants Using Discrete Orthogonal Moments |
| Authors: | Mukundan, R. |
| Keywords: | Pattern Recognition
Rotational invariants
orthogonal moments
zernike moment invariants
Tchebichef moments
pattern recognition |
| Issue Date: | 2004 |
| Citation: | Mukundan, R. (2004) A New Class of Rotational Invariants Using Discrete Orthogonal Moments. Honolulu, USA: 6th IASTED Conference on Signal and Image Processing – SIP2004, 23-25 Aug 2004. 80-84. |
| Source: | http://www.iasted.org/conferences/2004/hawaii/sip.htm |
| Abstract: | This paper presents a new class of Tchebichef moments in polar coordinate form, using which rotational invariants can be easily constructed. The structure of the invariants is very similar to that of Zernike and Pseudo-Zernike moments, and their computation does not involve discrete approximation of continuous integral terms. The invariants are thus very robust in the presence of image noise, and have far better recognition capabilities when compared with Zernike/Legendre moments. The new class of moment invariants presented in this paper can be used in pattern and character recognition tasks. |
| Publisher: | University of Canterbury. Computer Science and Software Engineering. |
| Research Fields: | Fields of Research::280000 Information, Computing and Communication Sciences::280200 Artificial Intelligence and Signal and Image Processing::280203 Image processing
Fields of Research::280000 Information, Computing and Communication Sciences::280200 Artificial Intelligence and Signal and Image Processing::280207 Pattern recognition |
| URI: | http://hdl.handle.net/10092/843 |
| Rights URI: | http://library.canterbury.ac.nz/ir/rights.shtml |
| Appears in Collections: | Conference Contributions
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