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- W3127284433 abstract "This paper proposes a new machine vision method to test the quality of a semi-transparent automotive illuminant component. Difference images of Frangi filtered surface images are used to enhance defect-like image structures. In order to distinguish allowed structures from defective structures, morphological features are extracted and used for a nearest-neighbor-based anomaly score. In this way, it could be demonstrated that a segmentation of occurring defects is possible on transparent illuminant parts. The method turned out to be fast and accurate and is therefore also suited for in-production testing." @default.
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- W3127284433 date "2021-02-05" @default.
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- W3127284433 title "Inspection of Transparent Objects with Varying Light Scattering Using a Frangi Filter" @default.
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- W3127284433 doi "https://doi.org/10.3390/jimaging7020027" @default.
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