Title :
Affine Invariant Ring Fourier Descriptors
Author :
San-San Li ; Yong-Dong Huang ; Jian-wei Yang
Author_Institution :
Fac. of Inf. & Comput. Sci., Beifang Univ. of Nat., Yinchuan, China
Abstract :
The traditional affine-invariant Fourier descriptor is contour-based. It can not be applied to objects with several components. In this paper, a region-based Affine Invariant Ring Fourier Descriptor (AIRFD) is put forward to extract affine invariant features. A set of affine invariant closed curves is constructed from the object. Prior to the extraction of features, the derived closed curves are parameterized to establish a one-to-one correspondence between points on the original closed curves and points on the closed curves of their affine transformed version. Consequently, these closed curves are put on the image of the image, and pixels on these closed curves are derived. Finally, a Fourier transform is conducted on these pixel series. As a result, AIRFDs are derived. Experimental results show that the proposed method can be used for object classification.
Keywords :
Fourier transforms; feature extraction; image classification; AIRFD; Fourier transform; affine invariant feature descriptor; affine invariant ring Fourier descriptor; contour-based Fourier descriptor; feature extraction; object classification; pixel series; Abstracts; Ear; Affine transformation; Closed curves; Fourier transform; Ring Fourier descriptors;
Conference_Titel :
Wavelet Analysis and Pattern Recognition (ICWAPR), 2013 International Conference on
Conference_Location :
Tianjin
Print_ISBN :
978-1-4799-0415-0
DOI :
10.1109/ICWAPR.2013.6599293