نوع مقاله : مقاله پژوهشی

[1] J.L. Dorrity and G. Vachtsevanos, “On-line defect detection for weaving system”, In: Proceedings of IEEE Annual Textile Fiber and Film Industry Technical Conference, Atlanta, USA, 1996.
[2] M.W. Suh, W. Jasper, and A. Cherkassky, “3-D electronic imaging of fabric qualities by on-line yarn data”, Ann. Rep. Text. Ctr., PA, 2003.
[3] C. Cho, B.M. Chung, and M.J. Park, “Development of real-time vision-based fabric inspection system”, IEEE T. Ind. Electron., vol. 52, no. 4, pp. 1073-1079, 2005.
[4] K.L. Mak and P. Peng, “An automated inspection system for textile fabrics based on Gabor filters”, Robot. Cim.Int. Manuf., vol. 24, no. 3, pp. 359–369, 2008.
[5] D. Schneider, T. Holtermann, F. Neumann, A. Heh, T. Aach, and T. Gries, “A vision based system for high precision online fabric defect detection”, In: Proceedings of 7th IEEE Conference on Industrial Electronics and Applications (ICIEA), Singapore, Singapore, 2012.
[6] A.S. Malek, “Online fabric inspection by image processing technology” Ph.D. Thesis, Mech. Eng., University of Haute Alsace, Mulhouse, Sud Alsace, France, 2012.
[7] M.A. Aziz, A.S. Haggag, and M.S. Sayed, “Fabric defect detection algorithm using morphological processing and DCT”, In: Proceedings of 1st International Conference on Communications, Signal Processing, and their Applications, Sharjah, United Arab Emirates, 2013.
[8] A.A. Zefrehyee, M.A. Tehran, H. Norsaty, and M. Abhajani, “On-line loom weft density control system design”, J. Eng. Fiber. Fabr., vol. 10, no. 4, pp. 28-36, 2015.
[9] G. Vladimir, B. Dmitriy, T.N. Win, and I. Evgen, “The vision system in the weaving loom industry”, In: Proceedings of IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering, Petersburg, Russia, 2017.
[10] R. Akdeniz, H.Z. Ozek, and G. Durusoy, “A study of selvedge waste length in rapier weaving by image analysis techniqueˮ, Text. Konfeksiyon, vol. 27, no. 1, pp. 22-26, 2017.
[11] R.E. Kalman, “A new approach to linear filtering and prediction problems”, J. Basic Eng.-T. Asme, vol. 82, no. 1, pp. 35–45, 1996.
[12] J. Scott, M. Pusateri, and D. Cornish, “Kalman filter based video background estimation”, IEEE Applied Imagery Pattern Recognition Workshop, Washington, DC, USA, 2009.
[13] N. Dehghan, P. Payvandy, and M.A. Tavanaei, “Nano fiber images thresholding based on imperial competitive algorithm”, Int. J. Comput. Appl. T., vol. 99, no. 6, pp. 37-47, 2014.
[14] J.B. MacQueen, “Some methods for classification and analysis of multivariate bservations”, In: Proceedings of Fifth Berkeley Symposium on Mathematics: Statistics and Probability, Berkeley: University of California Press, 1967.
[15] N. Otsu, “A threshold selection method from graylevel histogram”, IEEE T. Syst. Man. Cyb., vol. 9, no. 1, pp. 62-66, 1975.
[16] B.D. Lucas and T. Kanade, “An iterative image registration technique with an application to stereo vision”, In: Proceedings of International Joint Conference on Artificial Intelligence, San Francisco, USA, 1981.
[17] B.D. Wang and P. Dudek, “A fast self-tuning background subtraction algorithm”, In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, Columbus, OH, USA, 2014.