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- W79202308 abstract "The paper describes a vision system for detection and extraction of the masks of defects on the surface of ferrite cores. Separate approaches are used for small and large defects. The system for small defects uses a morphological defect detector and a morphological pyramid for detecting positions of defects. Optimization of the performance of the morphological pyramid is carried out by means of the genetic algorithm. Information obtained from the pyramid on the position and extent of defects gives a very coarse approximation of the shape of defects. Using this information, the exact shape of the small defects is then obtained by means of two consecutive morphological reconstructions. The system for large defects uses the information obtained while attempting to detect small defects. In addition to this, however, it uses the watershed segmentation for extracting the exact shape of large defects. In particular, the output from the watershed segmentation is processed by the region classifier which decides upon which regions from the segmentation should be included into a defect and into a defect free area. The paper also discusses problems related to extraction of cracks of ferrite cores. A fair number of included examples confirm that the described vision system correctly identifies and extracts a large range of defects of ferrite cores." @default.
- W79202308 created "2016-06-24" @default.
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- W79202308 date "2003-01-01" @default.
- W79202308 modified "2023-09-26" @default.
- W79202308 title "Extraction of surface defects using morphological pyramid and watershed: example of ferrite cores" @default.
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