Geometrical Morphological Analysis Applied to Composites

J. Garnier, S. Rashkeev
Advanced Ceramic Fibers, LLC,
United States

Keywords: image analysis, geometrical, morphological, NDE, QA, composites


MorphoHawk’s unique Geometrical Morphological Analysis ( GMA ) approach solves signal / image detection and analysis by introducing the concept of “image shape”. GMA methodology allows for extraction of “shapes” which are contained within the analyzed signal and/or image for any background and noise conditions. The patented MorphoHawk software is a computational technology based on the solid underlying mathematical foundation that have been adapted into specific algorithms called Detect and Discriminate. Its use in practical applications at ACF is on production lines and in composite analysis and examples will be provided in this presentation. GMA can distinguish delicate shades of gray. Typical X-ray images are black and white. Linear math based X-ray analysis methods can distinguish accurately between shades of gray ; yet GMA can both extract the object of interest and separate it from the background, noise, and other undesirable effects yielding high resolution of images. Comparisons will be presented show that traditional linear mathematical methods being used are not as efficient or provide accurate boundary distinction distinguishing shades of gray while maintaining resolution of object. GMA of digitized images can directly function images containing PIE/2 angles, discontinuities, non-differentiable components, and delta-functions which are embedded in all digitized images. Linear methods require extensive and inefficient code workarounds for boundary distinctions. This presentation shall also highlight major difference of GMA in 2-D and 3-D object analysis applied to NDE and QA in composites.