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Radon–Fourier descriptor for invariant pattern recognition
- Source :
- International Journal of Wavelets, Multiresolution and Information Processing. 17:1940004
- Publication Year :
- 2019
- Publisher :
- World Scientific Pub Co Pte Lt, 2019.
-
Abstract
- Radon transform is not only robust to noise, but also independent on the calculation of pattern centroid. In this paper, Radon–Mellin transform (RMT), which is a combination of Radon transform and Mellin transform, is proposed to extract invariant features. RMT converts any object into a closed curve. Radon–Fourier descriptor (RFD) is derived by applying Fourier descriptor to the obtained closed curve. The obtained RFD is invariant to scaling and rotation. (Generic) R-transform and some other Radon-based methods can be viewed as special cases of the proposed method. Experiments are conducted on some binary images and gray images.
- Subjects :
- 0209 industrial biotechnology
Mellin transform
Radon transform
Applied Mathematics
Mathematical analysis
Centroid
chemistry.chemical_element
Radon
02 engineering and technology
Invariant pattern recognition
020901 industrial engineering & automation
chemistry
Signal Processing
0202 electrical engineering, electronic engineering, information engineering
Fourier descriptor
020201 artificial intelligence & image processing
Invariant (mathematics)
Information Systems
Mathematics
Subjects
Details
- ISSN :
- 1793690X and 02196913
- Volume :
- 17
- Database :
- OpenAIRE
- Journal :
- International Journal of Wavelets, Multiresolution and Information Processing
- Accession number :
- edsair.doi...........5451d6aee33ba4e0ac1adebc8f96e17f