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COMPARISION OF 3 TECHNIQUES USED FOR THE ESTIMATION OF DISPLACEMENT IN PIV
Rafael Guillermo Gonzalez Acuña
Bernardino Barrientos
Acceso Abierto
Atribución-NoComercial-SinDerivadas
PIV METHODS, IMAGE VELOCIMETRY AND CORRELATION OF IMAGES, LUCASKANADE ALGORITHM, ARTIFICIAL INTELLIGENCE
"Results of numerical simulations related to the application of three processing techniques in PIV are presented. The compared techniques are the standard correlation method via Fourier transform, an optical flow method (Lucas-Kanade method) and a combination of the latter and a artificial intelligence algorithm. The parameters under analysis are the particle density, the diameter of the particles, the range of displacement, the type of displacement (constant, vortex-like and sinusoidal), the noise of displacement, the size of the subimage, the intensity variations, and the profile of the particles (rectangle, Gaussian and triangular). Plots of percentage relative errors are included for each parameter. The main findings are that the correlation technique yields the best results in general and that the other two techniques show their best performance when applied to low-contrast images."
2016-02
Tesis de maestría
Inglés
León, Guanajuato
Público en general
González Acuña, (2016). "Comparison of 3 techniques used for the estimation of displacement in PIV". Tesis de Maestría en Optomecatrónica. Centro de Investigaciones en Óptica, A.C. León, Guanajuato. 93 pp.
ÓPTICA
Aparece en las colecciones: MAESTRIA EN OPTOMECATRÓNICA

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