Abstract
The casting performance and life is directly affected by the degree of casting surface roughness. In this thesis, the image processing technology was used to establish an automatic detection system of casting surface roughness and to realize the median filtering, image edge enhancement, and binaryzation processing during the image pretreatment process. Moreover, the casting surface roughness parameters were analyzed. By combining with examples, effectiveness and practicability of the computer image processing technology in the casting surface roughness detection technology were verified. The findings in this thesis laid a foundation on developing the digital images' 3D evaluation technology for the casting surface roughness.
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