고감성 패턴 제조를 위한 반자동 검단기의 개발
Development of a Semi-automatic Cloth Inspection Machine for High-quality Fabric Patterns
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초록
The inspection processing is for reducing loss which occurs fault because of fabric appearance. Up to now inspection machine which is used from inspection process is classified with the macrography inspection machine and the full automatic inspection machine. The macrography inspection machine is low price and efficient equipment but does not record information of fault. On the other side, the automatic inspection machine is high price, also the detection rate of one changes with effect of environment variable but able to record information of fault. It developed semi-automatic cloth inspetion machine with the weak point of the macrography inspection machine and the automatic inspection machine was complemented. And when it uses information which was collected by semi-automatic cloth inspection machine, the loss rate of original fabric is able to calculate. So sewing factories will be able to predict fabric consuming quantity.
Abstract
The inspection processing is for reducing loss which occurs fault because of fabric appearance. Up to now inspection machine which is used from inspection process is classified with the macrography inspection machine and the full automatic inspection machine. The macrography inspection machine is low price and efficient equipment but does not record information of fault. On the other side, the automatic inspection machine is high price, also the detection rate of one changes with effect of environment variable but able to record information of fault. It developed semi-automatic cloth inspetion machine with the weak point of the macrography inspection machine and the automatic inspection machine was complemented. And when it uses information which was collected by semi-automatic cloth inspection machine, the loss rate of original fabric is able to calculate. So sewing factories will be able to predict fabric consuming quantity.
참고문헌 (8)
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- C.H. Kim, "Transactions : A Study on the Atuomatic Recognition of Weave Pattern by Digital Image Analysis", J. Korean Fiber Soc, 33, pp.593~601 (1996)
- S.H. Jeong, "Fabric Defects Using Image Processing (1)", J. Korean Fiber Soc, 37, pp.34~43 (2000)
- H.T. choi, "Identifying Fabric Defects Using Fuzzy Rule Generation", J. Korean Fiber Soc
- H.S. Kim, "Inspection of Reed Mark and Yarn Interval on Woven Fabric Surface using Image Analysis and Fourier Transform", Korean Fiber Soc, 37, pp.352~357 (2000)
- Y.J. Jeong, "Applying Image Analysis to Automatic Inspection of Fabric Density for Woven Fabrics", Fibers and Polymers, 6, pp.156~161 (2000)
- C.F.J. Kuo, "Gray Relational Analysis for Recognizing Fabric Defects", T.R.J, 73, pp.461~465 (2003)
- C.F. J. Kuo, "Using a Neural Network to Identify Fabric Defects in Dynamic Cloth Inspection", T.R.J, 73, pp.238~244 (2003)
