Fractal Pattern for Multiscale Digital Image Correlation

Equivalence of digital image correlation criteria for pattern matching.

In digital image correlation (DIC), to obtain the displacements of each point of interest, a correlation criterion must be predefined to evaluate the similarity between the reference subset and the target subset. The correlation criterion is of fundamental importance in DIC, and various correlation criteria have been designed and used in literature. However, little research has been carried out...

Fractal Digital Image Inpainting

Abstract The image inpainting is an important problem image processing. It is a difficult problem to recover an image with bigger hole, and the existing algorithms are not give good method. Based on fractal theory, in this paper, we present a new inpainting method, which using the total info of image effectively. The relation of fractal dimension and the size range block is discussed, and give ...

Fractal signatures for multiscale processing of hyperspectral image data

A multiscale approach to hyperspectral image data analysis using fractal signatures was proposed and implemented in the Interactive Data Language (IDL). For 2-D hyperspectral curves, fractal signature measures the changes in curve length with changing scale. Using NASA’s Earth Observing-1 (EO-1) Hyperion image from a study area near Denton, Texas, USA, the capabilities of fractal signatures in ...

On the Use of Acoustic Emission and Digital Image Correlation for Welded Joints Damage Characterization

A series of tests have been conducted to investigate fatigue damage characterization in corroded welded steel plates using structural health monitoring (SHM) techniques. Acoustic Emission (AE) is a non-destructive testing (NDT) technique with potential applications for locating and monitoring fatigue cracks in service. In the present work, AE is implemented to characterize damage during crack e...

Digital Image Correlation