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
Object recognition based on moment (or algebraic) invariants
Geometric invariance in computer vision
Shape measures for content based image retrieval: a comparison
Information Processing and Management: an International Journal
Content-Based Image Retrieval at the End of the Early Years
IEEE Transactions on Pattern Analysis and Machine Intelligence
Content-Based Image Retrieval Using Fourier Descriptors on a Logo Database
ICPR '02 Proceedings of the 16 th International Conference on Pattern Recognition (ICPR'02) Volume 3 - Volume 3
Orthogonal locally discriminant spline embedding for plant leaf recognition
Computer Vision and Image Understanding
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In this paper we propose an accurate shape-based image retrieval method which uses both types of moment invariants and Fourier descriptors. The method first excludes irrelevant images of different appearances using the region-based moment invariant features and then, using Fourier descriptors, the method increases the retrieval effectiveness substantially. The retrieval method was tested on our shape databases and the search accuracy was compared with those of Fourier descriptors and moment invariants. The hybrid method of using both boundary-based Fourier descriptor and region-based moment invariants provides much better performance than other similarity method.