Fuzzy Logic for Non-destructive Testing for Various Composite Materials

This paper presents the use of artificial intelligence techniques such as fuzzy logic for nondestructive X-ray testing of various products. The original presented algorithm proposes the defect presence testing in two stages in the radiographic image obtained from the inspected product. The first stage of the algorithm checks whether a possible defect (an area from the radiographic image) corresponds from the geometrical point of view (shape, size, etc., characteristics that depends entirely of the nature of the product that is inspected). If the possible defect corresponds form the geometrical point of view, then the second stage of detection is applied. This stage verifies whether the possible defect fulfills some “logical” criteria. These criteria are based on grey-level statistics for the corresponding area in question (i.e. between the possible defect area and the surrounding background there is a contrast difference of a certain level).