A New Optimization Algorithm Applied In Digital Image Correlation Technique And Phase Recovery

Electronic Speckle Pattern Interferometry (ESPI) and Digital speckle correlation method (DSCM) are both non-destructive testing technique of full-field, they inaugurated new field of potometric technology and broke through the localization of potometric technology, for example, the two techniques need little request for local testing contrast to the holography. Both of them have found valuable and widespread use in many research and engineering applications. The key of ESPI is the research of phase recovery.The key of DSCM is searching after a new correlation method, which is stable, rapid and accurate.the correlation operation. In this paper, a new optimization algorithm is proposed for ESPI and DSCM.This new algorithm is a global optimization algorithm that was originally motivated by the underlying idea of Ant Colony Algorithm (ACA). ACA is a bionic algorithm and the keystone of which is the simulation of ants'searching food. When ants are searching food, they will lay pheromone on trails, and the pheromone guade the other ants'searching food. Over time, the pheromone will evaporate while they are searching. It is called feed back which make ACA to find the optimum effectively. The new optimization algorithm is based on ACA which is good at stability and accuracy.In this paper, a new one-step phase-shifting technique is introduced, which convert the phase recovery into optimization of a function. The optimization of the function is solved by the new algorithm which was mentioned before. The new technique applied to phase recovery only need three pattens.A computer simulation scheme is employed to test the stability and accuracy of the new algorithm for DSCM and phase recovery in various situations.