Flaw Detection In Woven Textiles using Space-dependent Fourier Transform
نویسندگان
چکیده
Automatic inspection of woven textile fabric is discussed. Two signiicant problems are addressed: (a) texture feature extraction; Fourier transform features are found to be well matched to the spatially periodic nature of the woven pattern; moreover , they are shift invariant; (b) detector design; maximum likelihood type detectors are inappropriate since we cannot hope to enumerate all defect classes, hence a Neyman-Pearson approach is adopted, i.e. aw detection is via measured deviation from nominal. The performance of the system is evaluated on samples of denim fabric containing real defects.
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