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Sensors 2009, 9(12), 10434-10446; doi:10.3390/s91210434

Sensor for Distance Estimation Using FFT of Images

1
Electronics Department, University of Alcalá, Superior Polytechnic School, University Campus, Alcalá de Henares (28871), Madrid, Spain
2
Telecommunication Department, University of Oriente, Av. de las Américas, SN, Santiago de Cuba (90900), Cuba
*
Author to whom correspondence should be addressed.
Received: 6 November 2009 / Revised: 2 December 2009 / Accepted: 15 December 2009 / Published: 22 December 2009
(This article belongs to the Section Chemical Sensors)
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Abstract

In this paper, the problem of how to estimate the distance between an infrared emitter diode (IRED) and a camera from pixel grey-level intensities is examined from a practical standpoint. Magnitudes that affect grey level intensity were defined and related to the zero frequency component from the FFT image. A general model was also described and tested for distance estimation over the range from 420 to 800 cm using a differential methodology. Method accuracy is over 3%. View Full-Text
Keywords: Fast Fourier Transform; zero-frequency component; distance estimation; infrared; differential method; artificial vision Fast Fourier Transform; zero-frequency component; distance estimation; infrared; differential method; artificial vision
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This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

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MDPI and ACS Style

Lázaro, J.L.; Cano, A.E.; Fernández, P.R.; Luna, C.A. Sensor for Distance Estimation Using FFT of Images. Sensors 2009, 9, 10434-10446.

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