%0 Journal Article %1 Sanby1995215 %A Sanby, C. %A Norton-Wayne, L. %A Harwood, R. %D 1995 %E NN, %J Mechatronics %K automated inspection lace machine vision %N 2–3 %P 215 - 231 %R http://dx.doi.org/10.1016/0957-4158(95)00012-T %T The automated inspection of lace using machine vision %U http://www.sciencedirect.com/science/article/pii/095741589500012T %V 5 %X Lace is particularly difficult to inspect using machine vision since it comprises a fine and complex pattern of threads which must be verified, on line and in real time. This paper describes instrumentation for inspecting lace actually on the knitting machine. A \CCD\ linescan camera, synchronised to machine motions, grabs an image of the lace. Differences between this lace image and a perfect prototype image are detected by comparison methods, thresholding techniques, and finally, a neural network (to distinguish real defects from false alarms). Though produced originally in a laboratory on \SUN\ Sparc work-stations, the processing has subsequently been implemented on a 50 \MHz\ 486 \PC\ look-alike. Successful operation has been demonstrated in a factory, but over a restricted width. Full width coverage awaits provision of faster processing.

@article{Sanby1995215, abstract = {Lace is particularly difficult to inspect using machine vision since it comprises a fine and complex pattern of threads which must be verified, on line and in real time. This paper describes instrumentation for inspecting lace actually on the knitting machine. A \{CCD\} linescan camera, synchronised to machine motions, grabs an image of the lace. Differences between this lace image and a perfect prototype image are detected by comparison methods, thresholding techniques, and finally, a neural network (to distinguish real defects from false alarms). Though produced originally in a laboratory on \{SUN\} Sparc work-stations, the processing has subsequently been implemented on a 50 \{MHz\} 486 \{PC\} look-alike. Successful operation has been demonstrated in a factory, but over a restricted width. Full width coverage awaits provision of faster processing. }, added-at = {2014-10-19T16:44:20.000+0200}, author = {Sanby, C. and Norton-Wayne, L. and Harwood, R.}, biburl = {https://www.bibsonomy.org/bibtex/262fd842177374c7cbba7d39b0ffbb232/kinski1810}, doi = {http://dx.doi.org/10.1016/0957-4158(95)00012-T}, editor = {NN}, interhash = {ed0cfe6181a0568613f2833afc8db2e1}, intrahash = {62fd842177374c7cbba7d39b0ffbb232}, issn = {0957-4158}, journal = {Mechatronics }, keywords = {automated inspection lace machine vision}, note = {Mechatronics in Textfile Industries }, number = {2–3}, pages = {215 - 231}, timestamp = {2014-10-19T16:44:20.000+0200}, title = {The automated inspection of lace using machine vision }, url = {http://www.sciencedirect.com/science/article/pii/095741589500012T}, volume = 5, year = 1995 }