Algorithm for detecting images in defocused scenes using optical correlation

Author

Carnicer, Arturo ; Vallmitjana, Santiago ; Martin-Badosa, Estela ; Juvells, Ignacio

Author_Institution

Dept. of de Fisica Aplicada i Electron., Barcelona Univ., Spain

Volume

1

fYear

1996

fDate

16-19 Sep 1996

Firstpage

733

Abstract

An original method used to detect images in defocused scenes by means of a binary joint transform correlation is presented. The optical transfer function of the imaging lens, which presents positive and negative values, introduces sign errors in the joint power spectrum. The goal of this study is to detect the sign of the optical transfer function starting from the defocused image by means of a digital algorithm, to compensate the sign errors in the binary joint power spectrum and to obtain invariant correlations with respect to defocusing. Theoretical analysis and digital experiments to test the procedure are provided

Keywords

error analysis; image recognition; optical correlation; optical focusing; optical transfer function; spectral analysis; transforms; binary joint power spectrum; binary joint transform correlation; defocused image; defocused scenes; defocusing; digital algorithm; digital experiments; image detection algorithm; imaging lens; invariant correlations; optical correlation; optical transfer function; pattern recognition; sign errors compensation; Correlators; Degradation; Equations; Laboratories; Layout; Lenses; Optical imaging; Pattern recognition; Testing; Transfer functions;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing, 1996. Proceedings., International Conference on

Conference_Location

Lausanne

Print_ISBN

0-7803-3259-8

Type

conf

DOI

10.1109/ICIP.1996.559603

Filename

559603