Image retrieval and classication using shifted Legendre invariant moments and Radial Basis Functions Neural Networks

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Since shape is one of the important low-level features of any Image Retrieval and any image classification system, we present in this paper a new set of orthogonal polynomials called shifted Legendre polynomials, this helps to build a set of orthogonal moments, which are invariant to translation, rotation and scale. We apply new image Retrieval and classification systems based on the proposed invariant moments and Radial Basis Functions Neural Networks. To show the effectiveness of our approaches we present some experimental results.