This paper uses principal component analysis to extract features from digital images of surface defects of casting parts, and proposes a new method to simplify the calculation of automatic detection of part surface quality. It specifically explains the principle, calculation method, digital image segmentation, and feature extraction of principal component analysis, and optimizes parameter selection through case analysis, which has practical application value. Keywords: principal component analysis; digital image; feature extraction
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