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http://dx.doi.org/10.7315/CDE.2017.070

Development of Weft Straightener Using Fabric Pattern Detection Algorithm and Performance Evaluation  

Lee, Jae-Yong (Korea Textile Machinery Research Institute)
Chung, Yun-Soo (Il-Sung Machinery Co.)
Kim, Dae-Sub (Microtech Co.)
Bae, Gyu-Hyun (Korea Textile Machinery Research Institute)
Bae, Jae-Sung (Il-Sung Machinery Co.)
Lee, Dae-Hee (Korea Textile Machinery Research Institute)
Publication Information
Korean Journal of Computational Design and Engineering / v.22, no.1, 2017 , pp. 70-79 More about this Journal
Abstract
Weft straightener is an important process to control the final quality of the fabrics. It is needed to calibrate the distorted weft after dyeing process. During various fabric treatment processes, the fabric is almost done with heat treatment through a tenter machine. At this time, weft distortion is occurred with uneven tension distribution. Traditionally, photo sensor is commonly used to detect the weft distortion but it is not applicable for special fabric types such as twill, mesh, combi, etc. In this paper, a new method for detecting the weft distortion using camera is introduced. A new weft straightener simulator is also developed to test the ability of the proposed method. It is shown that the method can be applied for various fabric types.
Keywords
Fabric image pattern detection; Image processing algorithm; Line scan camera; Skew & bow roller; Weft straightener;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
연도 인용수 순위
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