The Appraisal of Velcro's Surface Quality Based on Machine Vision Systems

摘要

The most important problem of the Velcro Manufacturer face is to control the surface quality, and how to improve the product quality has become the key of the enterprise. Therefore, this paper take the research on the examination method of the Velcro's surface flaw, and propose a simply and effectively detection method on the marginal check and the flaw extraction of the buckle in the considering of the system's real-team and the effectiveness. The experiments have been carried on the results been analyzed under the Visual c++ develop environment. Experimental results show that the system can detect the common defect of the fastening surface accurately and classify them.