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- W2038068191 abstract "Much progress has been made in using computer vision to automate the process of lace scalloping. Because the material is flexible, dealing with stretch due to mechanical feed produces a challenge. The vision system has to work with many different patterns and sizes of lace as well as tolerating misalignment. A Fuzzy Reasoning Rule-based technique is employed in order to overcome the problems of material flexibility. Several experiments have been carried out using lace patterns of varying complexity. All cutting paths across the patterns were successfully found. Experimental results indicate that this method can correctly detect the river path in different lace patterns, and cope with lace stretch as well as distortion." @default.
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- W2038068191 date "1995-03-27" @default.
- W2038068191 modified "2023-09-23" @default.
- W2038068191 title "<title>Fuzzy reasoning rule-based system for handling lace pattern distortion</title>" @default.
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- W2038068191 doi "https://doi.org/10.1117/12.205519" @default.
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