A method to extract batik fabric pattern and elements

References

• An, Y. M., & Alifu, C. B. (2012). Edge extraction method of color carpet pattern. Computer Engineering and Applications, 24, 172–176.
   Google Scholar
• Charles, K., Ning, Z., Rafiu, K. R., & Ruru, P. (2019). Color measurement of segmented printed fabric patterns in lab color space from RGB digital image. Journal of Textile Science and Technology, 1–18.
   Google Scholar
• Duan, S. L., Yin, C. C., & Li, D. W. (2018). Improved adaptive Canny edge detection algorithm. Computer Engineering and Design, 39(6), 1645–1651.
   Google Scholar
• He, X. Y. (2019). Evolution and thinking of modernization of Chinese traditional crafts-taking batik as an example. Art Review, 18, 30–32.
   Google Scholar
• Jing, J., Li, Q., Li, P., & Zhang, L. (2016). A new method of printed fabric image retrieval based on color moments and gist feature description. Textile Research Journal, 86(11), 1137–1150. https://doi.org/10.1177/0040517515606378
   Web of Science ®Google Scholar
• Jing, J., Li, Q., Li, P., Zhang, H., & Zhang, L. (2016). Image segmentation of printed fabrics with hierarchical improved markov random field in the wavelet domain. Journal of Engineered Fibers and Fabrics, 11(3). https://doi.org/10.1177/155892501601100305
   Web of Science ®Google Scholar
• Kuo, C. F. J., & Shih, C. Y. (2011). Printed fabric computerized automatic color separating system. Textile Research Journal, 81(7), 706–713. https://doi.org/10.1177/0040517510383619
   Web of Science ®Google Scholar
• Li, Y. F., & Liang, H. E. (2018). Intelligent extraction of patterns from Ming dynasty fabrics: The case study of the bullfight robe. Journal of Silk, 11, 53–58.
   Google Scholar
• Lin, P., Chen, Y. M., He, Y., & Hu, G. W. (2014). A novel matching algorithm for splitting touching rice kernels based on contour curvature analysis. Computers and Electronics in Agriculture, 109, 124–133. https://doi.org/10.1016/j.compag.2014.09.015
   Web of Science ®Google Scholar
• Liu, G. F., & Liu, T. G. (2018). A segmentation method of jacquard pattern of woven fabric. Journal of Tianjin Polytechnic University, 4, 25–27.
   Google Scholar
• Liu, D. Y., & Wang, W. H. (2015). Chinese traditional batik pattern and its application in clothing. Textile Review, 7, 97–99.
   Google Scholar
• Liu, J. L., & Zuo, B. Q. (2008). Segmentation of fabric printing patterns based on genetic algorithm. Computer Engineering and Design, 15, 3966–3971.
   Google Scholar
• Li, R. Z., Yang, M., Ju, Jing, J. F., & Li, P. F. (2017). Fabric defect detection based on two-dimensional Otsu algorithm. Wool Textile Technology, 10, 75–80.
   Google Scholar
• Mo, H. F., Xu, B. G., Ouyang, W. B., & Wang, J. Q. (2017). Color segmentation of multi-colored fabrics using self-organizing-map based clustering algorithm. Textile Research Journal, 87(3), 369–380. https://doi.org/10.1177/0040517516631307
   Web of Science ®Google Scholar
• Muthuswamy, J., & Kanmani, B. (2018). Optimization based liver contour extraction of abdominal CT images. International Journal of Electrical and Computer Engineering (Ijece)), 8(6), 5061–5070. https://doi.org/10.11591/ijece.v8i6.pp5061-5070
   Google Scholar
• Sun, B. (2018). Extraction of printed fabric pattern contour based on Canny edge detection method. Printing and Dyeing Auxiliaries, 7, 31–33.
   Google Scholar
• Wang, H. R. (2015). Digital protection and inheritance of intangible cultural heritage. Culture Monthly, 34, 20.
   Google Scholar
• Wang, X. D., Feng, J., Lu, D. G., Li, Z., & Han, X. (2014). Liver contour extraction based on priori knowledge model. Application Research of Computers, 1, 281–284.
   Google Scholar
• Xiang, J., Zhang, J., Pan, R., Han, Y. B., Zhang, J. D., & Gao, W. D. (2017). Extracting the contours of printed fabric patterns with smooth texture. Journal of Textile Research, 11, 162–167.
   Google Scholar
• Xing, L., Zhang, J., & Liang, H. (2017). Intelligent inspection of dominant colors for Chinese traditional folk Yunjian. Journal of Textile Research, 11, 110–115.
   Google Scholar
• Yang, X. Y. (2017). Talking about the innovative design of batik. Art Technology, 11, 174.
   Google Scholar
• Zeng, G. H., Wu, H., & Wang, X. Q. (2014). An automatic wheel contour extraction method. Sensors & Transducers, 2, 61–67.
   Google Scholar
• Zhang, H. X. (2018). Research on segmentation algorithm of textile printing and dyeing image based on computer technology. Printing and Dyeing Auxiliaries, 8, 58–60.
   Google Scholar
• Zhang, S. J. (2016). Research on the strategy of establishing national batik resources database. Value Engineering, 6, 210–212.
   Google Scholar
• Zhang, X., Guo, C., Zong, Z., Zhang, W., & Liu, G. (2017). 3D reconstruction of strawberry leaves based on contour segmentation. Transactions of the Chinese Society of Agricultural Engineering, 33, 206–211.
   Google Scholar
• Zhang, M. W., Ma, J. X., Jing, J. F., & Li, P. F. (2019). Fabric defect detection based on improved weighted median filtering and K-means clustering. Journal of Textile Research, 12, 50–56.
   Google Scholar
• Zheng, D. J. (2015). A new method for automatic separation of fabric color. Textile Research Journal, 85(14), 1520–1538. https://doi.org/10.1177/0040517514561920
   Web of Science ®Google Scholar
• Zheng, C., Wang, L. G., Hu, Y. J., & Qin, Q. Q. (2010). Texture segmentation using multi-scale fuzzy MRF model in wavelet domain. Geomatics and Information Science of Wuhan University, 9, 1074–1077.
   Google Scholar