A Framework to Calibrate a MEMS Sensor Network
UIC '09 Proceedings of the 6th International Conference on Ubiquitous Intelligence and Computing
Farthest point distance: A new shape signature for Fourier descriptors
Image Communication
The RST invariant digital image watermarking using Radon transforms and complex moments
Digital Signal Processing
Multimedia Tools and Applications
A generic description of the concept lattices' classifier: application to symbol recognition
GREC'05 Proceedings of the 6th international conference on Graphics Recognition: ten Years Review and Future Perspectives
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Image retrieval from a large database is an important and emerging search area. This retrieval requires the choice of a suitable set of image features, a method to extract them correctly, and a measure of the similarity between features that can be compared in real-time. This paper presents a complete set of Fourier-Mellin descriptors for object storage and retrieval. Our approach is translation, rotation and scale invariant. Several retrieval examples in large image databaseare presented.