Towards an image quality criterion to optimize Digital image correlation. Use of an analytical model to optimize acquisition conditions

Digital image correlation (DIC) is expanding in many fields. In particular, it requires that the acquisition conditions and speckle be adapted to each application. A new methodology allowing define quality of images a fast precise way proposed. An analytical model based on mean intensity gradient pattern criterion standard deviation displacement has been The can used whole or by creating subsets image. Standard maps are obtained. makes possible save considerable amount time compared full DIC calculation optimize conditions, parameters.