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Conventionally, finished cutting tools are checked by human eyes. Most of the defects are minute and it is needed to be checked with a microscope. Therefore, it is a very labourous work. To lighten human load, the automatic testing system is required. The aim of this research is the development of a recognizing system for a chip on the edge by using image processing. As the preprocessing methods,...
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