Accurate Stitch Position Identification of Sewn Threads in Textiles
Geller D, Stiebel T, Rippel O, Osburg J, Lutz V, Gries T, Merhof D (2020)
Publication Type: Conference contribution
Publication year: 2020
Publisher: Institute of Electrical and Electronics Engineers Inc.
Book Volume: 2020-September
Pages Range: 505-512
Conference Proceedings Title: IEEE International Conference on Emerging Technologies and Factory Automation, ETFA
Event location: Vienna, AUT
ISBN: 9781728189567
DOI: 10.1109/ETFA46521.2020.9212117
Abstract
Seam stitches made by a computer program on a CNC sewing machine may be shifted from their desired positions due to the elasticity of thread and substrate material. The mismatch may lead to a visually inferior appearance of the resulting seam pattern compared to the one desired by the manufacturer.This paper presents a software to accurately identify the distortion vector for each individual stitch. The proposed software consists of a thread pixel detection in the scanned image of the textile based upon the Frangi Filter and the Expectation Maximization algorithm. A Subsequent registration with the desired model finds an accurate assignment of each model stitch position and the corresponding thread pixel. This allows the computation of individual distortion vectors facilitating the automatic reprogramming of corrected stitch positions in the CNC sewing program to minimize the final distortion.
Involved external institutions
Germany (DE)How to cite
APA:
Geller, D., Stiebel, T., Rippel, O., Osburg, J., Lutz, V., Gries, T., & Merhof, D. (2020). Accurate Stitch Position Identification of Sewn Threads in Textiles. In IEEE International Conference on Emerging Technologies and Factory Automation, ETFA (pp. 505-512). Vienna, AUT: Institute of Electrical and Electronics Engineers Inc..
MLA:
Geller, Dieter, et al. "Accurate Stitch Position Identification of Sewn Threads in Textiles." Proceedings of the 25th IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2020, Vienna, AUT Institute of Electrical and Electronics Engineers Inc., 2020. 505-512.
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