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Articles

Automatic measurement of yarn hairiness based on the improved MRMRF segmentation algorithm

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Pages 740-749 | Received 02 Apr 2016, Accepted 25 Jul 2017, Published online: 31 Aug 2017

References

  • Babay, A., Cheikhrouhou, M., Vermeulen, B., Rabenasolo, B., & Castelain, J. M. (2005). Selecting the optimal neural network architecture for predicting cotton yarn hairiness. Journal of the Textile Institute, 96, 185–192.10.1533/joti.2004.0073
  • Barella, A. (1983). Yarn hairiness. Textile Progress, 13(1), 1–57.10.1080/00405168308688897
  • Barella, A. (1993). The hairiness of yarns. Textile Progress, 24(3), 1–46.10.1080/00405169308688860
  • Barella, A., & Manich, A. M. (2002). Yarn hairiness: A further update. Textile Progress, 31(4), 1–44.10.1080/00405160208688953
  • Carvalho, V., Cardoso, P., Belsley, M., Vasconcelos, R. M., & Soares, F. O. (2006, November). Development of a yarn evenness measurement and hairiness analysis system. In IEEE Industrial Electronics, IECON 2006-32nd Annual Conference on (pp. 3621–3626). Paris: IEEE.10.1109/IECON.2006.347502
  • Carvalho, V. H., Cardoso, P. J., Vasconcelos, R. M., Soares, F. O., & Belsley, M. S. (2007, June). Optical yarn hairiness measurement system. In Industrial Informatics, 2007 5th IEEE International Conference on (Vol. 1, pp. 359–364). Vienna, Austria: IEEE.10.1109/INDIN.2007.4384783
  • Chan, M., Levitan, E., & Herman, G. T. (1994, April). Image-modeling Gibbs distributions for Bayesian restoration. In Image Analysis and Interpretation, 1994., Proceedings of the IEEE Southwest Symposium on (pp. 7–12). Dallas, TX: IEEE.10.1109/IAI.1994.336691
  • Dai, Q., Zheng, C., Sun, D., & Wang, L. (2013, March). MRF model with adaptive multiresolution for image segmentation. In Third International Conference on Photonics and Image in Agriculture Engineering (PIAGENG 2013) (pp. 876107–876107). Sanya, China: International Society for Optics and Photonics.
  • Fabijańska, A., & Jackowska-Strumiłło, L. (2012). Image processing and analysis algorithms for yarn hairiness determination. Machine Vision and Applications, 23, 527–540.10.1007/s00138-012-0411-y
  • Fang, H., Xin, B., Liu, X., & Zhang, J. (2015). Research of a novel method for measuring yarn hairiness based on image recognition. Journal of Hebei University of Science & Technology, 36, 63–72.
  • Fu, X., Liu, J., & Zhao, L. (2011). The algorithm of image segmentation for best histogram entropy based on genetic algorithm. Computer Programming Skills & Maintenance, 18, 042.
  • Fwu, J. K., & Djurić, P. M. (1996). Unsupervised vector image segmentation by a tree structure-ICM algorithm. Medical Imaging, IEEE Transactions on, 15, 871–880.
  • Guo, H., & Wang, J. (2007). Simple analyses of several hairiness testing methods. Hebei Textile, 3, 75–80.
  • Haleem, N., & Wang, X. (2015). Recent research and developments on yarn hairiness. Textile Research Journal, 85, 211–224.10.1177/0040517514538692
  • Jing, J., Peng, T., & Li, P. (2013). Textile image segmentation using a multi-resolution Markov random field model on variable weights in the wavelet domain. Journal of Fiber Bioengineering and Informatics, 6, 325–333.10.3993/jfbi09201310
  • Kittler, J., & Illingworth, J. (1986). Minimum error thresholding. Pattern Recognition, 19, 41–47.10.1016/0031-3203(86)90030-0
  • Kretzschmar, S. D., & Nasiou, T. (2011). USTER o ZWEIGLE HL400.
  • Lappage, J., & Onions, W. J. (1964). 35 – An instrument for the study of yarn hairiness. Journal of the Textile Institute Transactions, 55(8), T381–T395.10.1080/19447026408662417
  • Liu, X., & Hou, B. (2012). Weighted MRF algorithm for automatic unsupervised image segmentation. Computer and Modernization, 11, 020.
  • Liu, G., Luo, L., & Mei, T. (2008). A multispectral textured image segmentation method based on mrmrf. Geomatics and Information Science of Wuhan University, 33, 963–966.
  • Manjunath Aradhya, H. K. G., & Shivakumara, P. (2006). Skew detection technique for binary document images based on Hough transform. International Journal of Information Technology, 3, 194–200.
  • Ng, S. K., Krishnan, T., & McLachlan, G. J. (2012). The EM algorithm. In Handbook of computational statistics (pp. 139–172). Berlin: Springer Berlin Heidelberg.10.1007/978-3-642-21551-3
  • Perez, A., & Gonzalez, R. C. (1987). An iterative thresholding algorithm for image segmentation. IEEE Transactions on Pattern Analysis & Machine Intelligence, 6, 742–751.10.1109/TPAMI.1987.4767981
  • Singh, C., Bhatia, N., & Kaur, A. (2008). Hough transform based fast skew detection and accurate skew correction methods. Pattern Recognition, 41, 3528–3546.10.1016/j.patcog.2008.06.002
  • Su, J. (2004). A brief discussion about the method of testing yarn hairiness. Shanghai Textile Science and Technology, 32, 60–62.
  • Tang, F., Yu, J., & Zhang, R. (2003). The yarn analysis system based on computer visual technology. Journal of Zhongyuan Institute or Technology, 14, 15–18.
  • USTER Technologies Ltd. (2013). Retrieved January 2013 from, https://www.uster.com/fileadmin/customer/Services/USTER_Statistics/Application_handbook_USTER_Statistics_2013.pdf
  • Wang, C., Komodakis, N., & Paragios, N. (2013). Markov random field modeling, inference & learning in computer vision & image understanding: A survey. Computer Vision and Image Understanding, 117, 1610–1627.10.1016/j.cviu.2013.07.004
  • Xia, Z., Wang, H., Wang, X., Ye, W., & Xu, W. (2011). A study on the relationship between irregularity and hairiness of spun yarns. Textile Research Journal, 81, 273–279.
  • Xiao, R., & Hou, J. (2012). Multi-resolution image segmentation algorithm based on Markov model. Computer Engineering, 38, 058.
  • Xie, Y., & Chen, Q. (2014). Study on wood defect image threshold segmentation algorithms. Forest Engineering, 2, 011.
  • Zheng, C., Wang, L., Chen, R., & Chen, X. (2013). Image segmentation using multiregion-resolution MRF model. IEEE Geoscience and Remote Sensing Letters, 10, 816–820.10.1109/LGRS.2012.2224842

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