Accuracy increase of temperature measurement on thermal images
S.A. Popov, I.I. Docin, G.M. Emelyanov

PDF, 216 kB

DOI: 10.18287/0134-2452-2013-37-1-131-134.

Full text of article: Russian language.

Pages: 131-134.

Abstract:
Multiresponse regression model is used for dependence of thermal image pixel amplitudes from temperature to increase accuracy of remote indirect method of temperature measurement. Obtained model allows to calculate integral estimation of temperature and its dispersion on all pixels taking into account correlation relationships of amplitude observation errors.

Key words:
remote temperature measurement, thermal image, multiresponse model, covariance matrix of observation errors, temperature estimate.

Citation:
Popov SA, Docin II, Emelyanov GM. Accuracy increase of temperature measurement on thermal images. Computer Optics 2013; 37(1):131-134. DOI:10.18287/0134-2452-2013-37-1-131-134.

References:

  1. Gaussorgues, Gilbert. La Thermographie Infra­rouge.Principes-Technologie-Applications. Technique et Documentation. Lavoisier, Paris, 1984.–481 p.
  2. Sergeev V.V., Kopenkov V.N., Chernov A.V. Comparative analysis of function approximation methods in problems of image processing // Computer optics – 2004. No.26. – P.119-122. – ISSN 0134-2452 – (in Russian)
  3. Popov, S.A. Statistical method of calibration of digital photocameras for improvement of color reproduction // Autometria – 2003. V. 39, No 2.– P. 92-99.– ISSN 0320-7102 – (in Russian)
  4. Maindonald, J. Computational Algorithms in Applied Statistics. – Moscow: Finansy i Statistika Publisher, 1988. – 352 p. – (in Russian)
  5. Rencher, Alvin C. Methods of Multivariate Analysis / A John Wiley & Sons, Inc. Publication. Brigham Young University, 2002.– 708 p.

© 2009, IPSI RAS
Institution of Russian Academy of Sciences, Image Processing Systems Institute of RAS, Russia, 443001, Samara, Molodogvardeyskaya Street 151; E-mail: ko@smr.ru; Phones: +7 (846 2) 332-56-22, Fax: +7 (846 2) 332-56-20