Design of a System for Image Registration and Compensation based on Spectral Analysis

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XX International Conference of the Chilean Computer Science Society (SCCC'00)

Santiago, Chile

November 16-November 18

ISBN: 0-7695-0810-3

	ASCII Text	x
	M. Mendoza, C. Moraga, L. Salinas, "Design of a System for Image Registration and Compensation based on Spectral Analysis," Chilean Computer Science Society, International Conference of the, pp. 191, XX International Conference of the Chilean Computer Science Society (SCCC'00), 2000.

	BibTex	x
	@article{ 10.1109/SCCC.2000.890408, author = {M. Mendoza and C. Moraga and L. Salinas}, title = {Design of a System for Image Registration and Compensation based on Spectral Analysis}, journal ={Chilean Computer Science Society, International Conference of the}, volume = {0}, year = {2000}, issn = {1522-4902}, pages = {191}, doi = {http://doi.ieeecomputersociety.org/10.1109/SCCC.2000.890408}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Chilean Computer Science Society, International Conference of the TI - Design of a System for Image Registration and Compensation based on Spectral Analysis SN - 1522-4902 SP EP A1 - M. Mendoza, A1 - C. Moraga, A1 - L. Salinas, PY - 2000 KW - image registration; spectral analysis; parameter estimation; Fourier analysis; visual databases; image registration; image compensation; spectral analysis; parameter estimation; affine transformations; image acquisition; Fourier analysis; complex analysis; crosspower spectrum; image database VL - 0 JA - Chilean Computer Science Society, International Conference of the ER -

M. Mendoza, Dept. of Inf., UTFSM, Valparaiso, Chile

C. Moraga, Dept. of Inf., UTFSM, Valparaiso, Chile

L. Salinas, Dept. of Inf., UTFSM, Valparaiso, Chile

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/SCCC.2000.890408

Estimation of the values of the parameters of affine transformations are crucial in dealing with the compensation problem in image acquisition and image registration. We investigate these problems using spectral, Fourier and complex analysis. We furthermore introduce some new techniques for obtaining spectral transformations and computing of the so-called crosspower spectrum of an image, allowing a fast and efficient solution of the problem of image registration under affine transformation.

Index Terms:

image registration; spectral analysis; parameter estimation; Fourier analysis; visual databases; image registration; image compensation; spectral analysis; parameter estimation; affine transformations; image acquisition; Fourier analysis; complex analysis; crosspower spectrum; image database

Citation:

M. Mendoza, C. Moraga, L. Salinas, "Design of a System for Image Registration and Compensation based on Spectral Analysis," sccc, pp.191, XX International Conference of the Chilean Computer Science Society (SCCC'00), 2000

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