Título

Comparative analysis of pattern reconstruction using orthogonal moments

Autor

ALFONSO PADILLA VIVANCO

GONZALO JORGE URCID SERRANO

FERMIN SALOMON GRANADOS AGUSTIN

ANSELMO ALEJANDRO CORNEJO RODRIGUEZ

Nivel de Acceso

Acceso Abierto

Resumen o descripción

We present a detailed analysis of the reconstruction of graylevel

images using orthogonal moments with respect to the basis sets of

Zernike, Fourier-Mellin, Chebyshev-Fourier, and pseudo-Jacobi-Fourier

polynomials. As test images, we use Ronchigrams with different numbers

of fringes as high-spatial-frequency components. The evaluation of

image reconstruction between orthogonal moment sets is made in terms

of different metrics. These measurements are the normalized image reconstruction

error, the overall activity level in each image with respect to

spatial frequency variations, the root-mean-square contrast, the total

number of reconstructed fringes, the coordinate transformations of the

input image, and the number of moment orders. Moreover, a method of

denoising the input image based on the Daubechies wavelet transform is

implemented to compute the signal-to-noise ratio. Numerical computations

show that, for the Ronchigram reconstructions, the performance of

Zernike moments is better than that of the other basis sets of orthogonal

moments.

Editor

Society of Photo-Optical Instrumentation Engineers

Fecha de publicación

enero de 2007

Tipo de publicación

Artículo

Versión de la publicación

Versión aceptada

Formato

application/pdf

Idioma

Inglés

Audiencia

Estudiantes

Investigadores

Público en general

Sugerencia de citación

Padilla-Vivanco, A., et al., (2007). Comparative analysis of pattern reconstruction using orthogonal moments, Optical Engineering, Vol. 46 (1): 1-15

Repositorio Orígen

Repositorio Institucional del INAOE

Descargas

777

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