Artificial intelligence techniques for the automated analysis of ultrasonic NDT data

The following methods of NDT data processing techniques are considered: removal of noisy or spurious indications; derivation of missing indications; smoothing; thresholding; edge detection and flood-filling; and contouring. Classification of suspect regions and shape recognition are discussed. The following types of automated recognition techniques are considered: best-fit analysis; and triangulation analysis.<
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