VSE knjižnice (vzajemna bibliografsko-kataložna baza podatkov COBIB.SI)
  • Kalman filter based initial guess estimation for digital image correlation
    Simončič, Samo ; Klobčar, Damjan ; Podržaj, Primož
    In applications digital image correlation based algorithms often present a basis for analysis of move- ment/deformation of bodies. The sequence of the obtained images is analyzed for this purpose. ... Especially, in cases when the body's movement/deformation between two successive images is signi fi cant, the initial guess can have a major in fl uence on the execution speed of the algorithm. In the worst case it can even cause the divergence of the algorithm. This was the inspiration to develop a new and unique approach for an accurate and reliable determination of an initial guess for each image pixel. Kalman fi lter has been used for this purpose. It uses past measurements of observed variable(s) for calculations. Beside that it also incorporates state space model of the actual system. This is one of the most important advantages provided by Kalman fi lter. The determined initial guess by the proposed method is actually close to the true one and it enables fast convergence. Even more important property of this approach is the fact that it is not path-dependant because each image pixel, which is de fi ned in ROI, is tracked through the sequence of images based on its own past measurements and general state space model. Consequently, the proposed method can be used to analyze tasks where discontinuities between image pixels are present. The applied method can be used to predict an initial guess where reference and deformed subsets are related by translational and rotational motion. The advantages mentioned above are veri fi ed with numerical and real experiments. The experimental validations are performed by NR (Newton % Raphson) approach which is the most widely used. Beside NR method the presented algorithm is applicable for other registration methods as well. It is used as an addition for calculation of initial guesses in a sequence of deformed images.
    Vir: Optics and lasers in engineering. - ISSN 0143-8166 (Vol. 73, Oct. 2015, str. 80-88)
    Vrsta gradiva - članek, sestavni del
    Leto - 2015
    Jezik - angleški
    COBISS.SI-ID - 14176283
    DOI

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