Abstract
An object recognition scheme for inspection of high tolerances in manufactured engine components has been developed and tested. A mechano-optical arrangement is used to generate and capture images of the components. A simple edge detection algorithm and an effective feature transformation plus indexing technique are applied to extract and analyse the features of the images. A classification scheme based on fuzzy membership functions is proposed. Some promising results of feature extraction, feature analysis and classification are shown.
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