Abstract
Mechanoluminescent (ML) materials are attractive smart materials that can emit light induced by mechanical deformation. The ML sensing devices of SrAl2O4:Eu have been developed to make possible to visualize dynamic stress. Dynamic stress distributions are visualized as patterns of mechanoluminescence by painted micro-particle mixtured with paint on surface of the structure. In this paper, we attend that patterns in mechanoluminescence images reflect the distribution of stress on the structures. A method of mechanoluminescence pattern detection is divided into two steps. First step is image filtering in which the euclid distance and correlation coefficient between each frame images are applied for detection of mechanoluminescence patterns. Sencound step is detailed analysys of mechanoluminescence pattern by using Higher Order Local Autocorrelation (HLAC). Developed method is inspected by using some experimental results.
