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Reconstructing an image by blocks with Legendre Moments


Sanaa El Mrini, Mohammed Hamri


Vol. 11  No. 8  pp. 119-122


Moment functions are widely use in image analysis as feature descriptors for pattern recognition. In this work, we propose a method to recognition problem using Legendre moments. The proposed approach is based on the decomposition of the original image into block images. The optimal number of moment used to represent original image is deduced from the measure of the error between the original image and its reconstructed. Servo image is used to demonstrate the performance of the proposed method.


Orthogonal Legendre moments, Zernike Moments, Moment Invariants