On Image Analysis by the Methods of Moments
IEEE Transactions on Pattern Analysis and Machine Intelligence
Invariant Image Recognition by Zernike Moments
IEEE Transactions on Pattern Analysis and Machine Intelligence
Detection of generalized principal axes is rotationally symmetric shapes
Pattern Recognition
A survey of moment-based techniques for unoccluded object representation and recognition
CVGIP: Graphical Models and Image Processing
Pattern recognition and image analysis
Pattern recognition and image analysis
A Scale and Rotation Parameters Estimator Application to Technical Document Interpretation
GREC '01 Selected Papers from the Fourth International Workshop on Graphics Recognition Algorithms and Applications
A novel approach to the fast computation of Zernike moments
Pattern Recognition
Notes on shape orientation where the standard method does not work
Pattern Recognition
Boundary based shape orientation
Pattern Recognition
Boundary based shape orientation
Pattern Recognition
Robust designs for series estimation
Computational Statistics & Data Analysis
An Alternative Approach to Computing Shape Orientation with an Application to Compound Shapes
International Journal of Computer Vision
A Hu moment invariant as a shape circularity measure
Pattern Recognition
Testing for image symmetries: with application to confocal microscopy
IEEE Transactions on Information Theory
A definition for orientation for multiple component shapes
CAIP'07 Proceedings of the 12th international conference on Computer analysis of images and patterns
A zernike moment phase-based descriptor for local image representation and matching
IEEE Transactions on Image Processing
3-D Symmetry Detection and Analysis Using the Pseudo-polar Fourier Transform
International Journal of Computer Vision
A RST-Invariant robust DWT-HMM watermarking algorithm incorporating zernike moments and template
KES'05 Proceedings of the 9th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part I
Accurate calculation of Zernike moments
Information Sciences: an International Journal
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The conventional method of estimating the rotation angle of a pattern using the principal axes is not suitable for circular symmetric patterns since their eigenvalues are similar in both directions. In this paper, a new and robust method of estimating a rotation angle using the phase information of Zernike moments is presented. The experimental results show that the proposed method estimates the rotation angle of the circular symmetric patterns more accurately than the principal axes method, even in the presence of noise.