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This work presents two image-based inspection approaches for the quality evaluation of cylinder bore surfaces. In the first algorithm, metal folds on plateau-honed surfaces are inspected with scanning electron microscopy. An edge-aware structure tensor is proposed for feature extraction and localization of surface defects. The second algorithm uses a morphgraphical method for detecting graphite grains in optical micrographs. Based on the inspection results, quality parameters are proposed.

image processing --- Bildverarbeitung --- Kantendetektion --- Mikrographhoning --- micrograph --- automated vision inspection --- Honung --- edge detection --- Automatische Sichtprüfung