Generic ring fourier descriptors for shape description

The traditional Fourier descriptor (FD) can only be used to objects with single boundary. We develop a novel method, Generic Ring Fourier Descriptor (GRFD), which can be applicable to gray-scale image. Firstly, we take an unconventional view of the traditional FDs, as we treat the boundary as a clos...

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Bibliographic Details
Published in2010 International Conference on Wavelet Analysis and Pattern Recognition pp. 74 - 78
Main Authors Jian-Wei Yang, Xiang-Jun Zhao, Ru-Shi Lan
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.07.2010
Subjects
Fourier Descriptors
Gaussian noise
Generic Ring Fourier Descriptors
Image databases
Pattern recognition
Shape
Shape description
Wavelet analysis
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ISBN1424465303
9781424465309
ISSN2158-5695
DOI10.1109/ICWAPR.2010.5576441

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Summary:The traditional Fourier descriptor (FD) can only be used to objects with single boundary. We develop a novel method, Generic Ring Fourier Descriptor (GRFD), which can be applicable to gray-scale image. Firstly, we take an unconventional view of the traditional FDs, as we treat the boundary as a closed-curve in a 2-D binary image. Consequently, the generated FD (GFD) is proposed such that it can be applicable to a closed-curve with gray value in an image. Then GFD is applied to concentric circles with different radius in the image and GRFDs are derived. Objects can be represented by these GRFDs which are invariant to translation, scaling and rotation. Experiments using images from the coil-20 database have been conducted to compare the performance of the proposed descriptors with Hu's moments and Complex moments (CMs). The proposed method demonstrated superior performance.
ISBN:1424465303
9781424465309
ISSN:2158-5695
DOI:10.1109/ICWAPR.2010.5576441