Filtering is based on criteria for fringe image quality and it is aimed to remove all unreliable data from the data set. In particular a fringe image is consider to have a good quality if; (a) image intensity I is above a minimum threshold, (b) fringe visibility Vis (or contrast) is above a fixed threshold. This filtering procedure improves the confidence level of the data fitting process.