Optical methods equipped with phase measuring methods of fringe pattern analysis have become recently an
important tool in non-destructive testing, remote shape measurement and strain analysis. However they are usually
vulnerable to improper settings of operational parameters, algorithm selection, data evaluafion sequence and often require
highly qualified operator. These disadvantages may be reduced by implementing smart fringe image processing system,
SFIPS, which is equipped in image quality evaluation modules and feed-back and feed-forward decision loops. The paper
presents the architecture of SFIPS and the principles of formation and usage of image feature vectors at sequential stages
of processing. Example of implementing the SFIPS for analysis of crossed fringe pattern obtained in grating interferometry
system is given.
Key words: smart fringe pattern processing system, automatic fringe pattern analysis, image feature vector, phase
measuring methods, image quality evaluation.