IEEE Trans Image Process - Fast computation of Tchebichef moments for binary and grayscale images.

Tópicos

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Resumo

Discrete orthogonal moments have been recently introduced in the field of image analysis. It was shown that they have better image representation capability than the continuous orthogonal moments. One problem concerning the use of moments as feature descriptors is the high computational cost, which may limit their application to the problems where the online computation is required. In this paper, we present a new approach for fast computation of the 2-D Tchebichef moments. By deriving some properties of Tchebichef polynomials, and using the image block representation for binary images and intensity slice representation for grayscale images, a fast algorithm is proposed for computing the moments of binary and grayscale images. The theoretical analysis shows that the computational complexity of the proposed method depends upon the number of blocks of the image, thus, it can speed up the computational efficiency as far as the number of blocks is smaller than the image size.

Resumo Limpo

discret orthogon moment recent introduc field imag analysi shown better imag represent capabl continu orthogon moment one problem concern use moment featur descriptor high comput cost may limit applic problem onlin comput requir paper present new approach fast comput d tchebichef moment deriv properti tchebichef polynomi use imag block represent binari imag intens slice represent grayscal imag fast algorithm propos comput moment binari grayscal imag theoret analysi show comput complex propos method depend upon number block imag thus can speed comput effici far number block smaller imag size

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