| Resumen |
A particle swarm optimization (PSO) based method to carry out fringe pattern demodulation is described. A particle swarm is codified with the parameters of the function that estimates the phase. A fitness function is established to evaluate the particles, which considers: (a) the closeness between the observed fringes and the recovered fringes, (b) the phase smoothness, (c) the prior knowledge of the object as its shape and size. The swarm of particles evolves until a fitness average threshold is obtained. We demonstrate that the method is able to successfully demodulate noisy fringe patterns and even a one-image closed-fringe pattern. |
