A novel approach to the fast computation of Zernike moments
Pattern Recognition
Shape-based features for image hashing
ICME'09 Proceedings of the 2009 IEEE international conference on Multimedia and Expo
Fast and numerically stable methods for the computation of Zernike moments
Pattern Recognition
Shapes as empirical distributions
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Optical music recognition for scores written in white mensural notation
Journal on Image and Video Processing - Special issue on image and video processing for cultural heritage
Algorithms for fast computation of Zernike moments and their numerical stability
Image and Vision Computing
| Hi-index | 0.01 |
Angular radial transform (ART), which is the region-based shape descriptor of MPEG-7, has desirable properties for representing shape information in a small number of features with no redundancy. However, in order for ART to be useful, especially in limited computing environments, the computational cost of ART must be greatly reduced. In this paper, we derive symmetric/antisymmetric properties from the basis functions of ART and present a fast and efficient method to compute the ART coefficients using these properties. The proposed method significantly reduces the number of sinusoidal operations and multiplications in computing the coefficients of ART. Moreover, the memory requirements needed to store the ART basis functions in lookup tables are only 25% of the conventional method. The experimental results are presented to show the effectiveness of the proposed method.