148
Views
6
CrossRef citations to date
0
Altmetric
Research Articles

Comparative analysis of SVM and ANN classifiers for defective and non-defective fabric images classification

&
Pages 1072-1082 | Received 26 Mar 2019, Accepted 07 Apr 2021, Published online: 28 Apr 2021

References

  • Agilandeswari, V., Anuja, J., Dona George, E., & Prasath, R. (2014). Fabric quality testing using image processing. In 2014 International Conference on Information Communication and Embedded Systems (ICICES) (pp. 1–4). IEEE, Chennai, India.
  • Alper Selver, M., Avşar, V., & Özdemir, H. (2014). Textural fabric defect detection using statistical texture transformations and gradient search. The Journal of the Textile Institute, 105(9), 998–1007. https://doi.org/https://doi.org/10.1080/00405000.2013.876154
  • Banumathi, P., & Nasira, G. M. (2012). Fabric inspection system using artificial neural networks. International Journal of Computer Engineering & Sciences, 2, 20–27.
  • Deotale, N. T., & Sarode, T. K. (2019). Fabric defect detection adopting combined GLCM, Gabor wavelet features and random decision forest. 3D Research, 10(1), 1–13, https://doi.org/https://doi.org/10.1007/s13319-019-0215-1
  • Gómez-Gil, P., Ramírez-Cortés, M., González-Bernal, J., Pedrero, Á. G., Prieto-Castro, C. I., Valencia, D., Lobato, R., & Alonso, J. E. (2008). A feature extraction method based on morphological operators for automatic classification of leukocytes. In Seventh Mexican International Conference on Artificial Intelligence, 2008. MICAI'08 (pp. 227–232). IEEE.
  • Huangpeng, Q., Hong, Z., Xiangrong, Z., & Huang, W. (2018). Automatic visual defect detection using texture prior and low-rank representation. IEEE Access, 6, 37965–37976.
  • Karlekar, V. V., Biradar, M. S., Bhangale, K. B. (2015). Fabric defect detection using wavelet filter. In 2015 International Conference on Computing Communication Control and Automation (ICCUBEA) (pp. 712–715). IEEE.
  • Lizarraga-Morales, R. A., Correa-Tome, F. E., Sanchez-Yanez, R. E., & Cepeda-Negrete, J. (2019). On the use of binary features in a rule-based approach for defect detection on patterned textiles (Vol 6, pp. 18042–18049). IEEE Access.
  • Mahajan, P. M., Kolhe, S. R., & Patil, P. M. (2009). A review of automatic fabric defect detection techniques. Advances in Computational Research, 1(2), 18–29.
  • Nasira, G. M., & Banumathi, P. (2013). Plain woven fabric defect detection based on image processing and artificial neural networks. International Journal of Computer Trends and Technology, 6(4), 226–229.
  • Patil, M., Verma, S., & Wakode, J. (2017). A review on fabric defect detection techniques. International Research Journal of Engineering and Technology, 4(9), 131–136.
  • Ren, J. (2012). ANN vs. SVM: Which one performs better in classification of MCCs in mammogram imaging. Knowledge-Based Systems, 26, 144–153. https://doi.org/https://doi.org/10.1016/j.knosys.2011.07.016
  • Sabeenian, R. S., Paramasivam, M. E., & Dinesh, P. M. (2012). Fabric defect detection in handlooms cottage silk industries using image processing Techniques. International Journal of Computer Applications, 58(11), 21–26. https://doi.org/https://doi.org/10.5120/9326-3631
  • Sparavigna, A. C. (2017). Image segmentation applied to the analysis of fabric textures. Philica. https://hal.archives-ouvertes.fr/hal-01633061
  • Tabassian, M., Ghaderi, R., & Ebrahimpour, R. (2011). Knitted fabric defect classification for uncertain labels based on Dempster–Shafer theory of evidence. Expert Systems with Applications, 38(5), 5259–5267.
  • Wang, X., Ge, W., & Yueqi, Z. (2018). Fabric identification using convolutional neural network. In International Conference on Artificial Intelligence on Textile and Apparel (pp. 93–100). Springer.
  • Yapi, D., Allili, M. S., & Baaziz, N. (2018). Automatic fabric defect detection using learning-based local textural distributions in the contourlet domain. IEEE Transactions on Automation Science and Engineering, 15(3), 1014–1026. https://doi.org/https://doi.org/10.1109/TASE.2017.2696748

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.