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Article Synopsis
  • The paper expands a surface inspection method originally designed for industrial use, targeting specular cylindrical surfaces, to include free-form rough and specular shapes by analyzing stripe patterns from structured light projections.
  • A four-step procedure is proposed to enhance image interpretation, which involves comparing feature-based descriptions, determining optimal sub-groups, fusing them, and selecting the best features.
  • Results indicate a classification rate improvement of over 2% using a refined set of features, achieving similar high rates with only a quarter of the original features for categorizing free-form surfaces.
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