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Automatic exploration and transfer design of associative rules in She Ethnic Clothing Coloration

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Abstract

Ethnic clothing, blending historical and contemporary influences, showcased a complex color artistry, inspiring modern design. In this study, image analysis was applied to dissect the color palette of She ethnic costumes, examining 250 images categorized into upper apparel, lower attire, and accessories. Techniques including color correction, cluster-based color extraction, and an enhanced Apriori algorithm were utilized to analyze color variations across different costume types and to establish definitive Colour combinations. The research revealed only minor differences in color usage among the categories. However, it was noted that binary color pairings in accessories and ternary combinations in lower garments displayed a rich diversity of color schemes. The application of a 0.2 minimum support threshold in the algorithm effectively distinguished regional color patterns. The algorithm's swift processing time of 0.032 s demonstrated its effectiveness in rapidly analyzing complex color relationships.This study deepened the understanding of the intricacies in color aesthetics of ethnic costumes, offering fresh perspectives for innovative design.

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Data availability

On reasonable request, the corresponding author, Pinghua Xu, will provide the data that support the conclusions of this study.

References

  1. Ding X, Li T, Chen J, Ma L, Zou F (2023) Research on the clothing classification of the she ethnic group in different regions based on FPA-CNN. Appl Sci 13(17):9676. https://doi.org/10.3390/app13179676

    Article  Google Scholar 

  2. Ding X, Zou C, Chen J, Zou F (2016) Extraction and classification of She nationality clothing via visual features. Text Res J 86(12):1259–1269. https://doi.org/10.1177/0040517515609260

    Article  Google Scholar 

  3. Chen Jing (2017) She’s costumes heritage context in Zhejiang and Fujian provinces based on ethnic migration history. Text Res J 38(4):115–120. https://doi.org/10.13475/j.fzxb.20160401206

    Article  Google Scholar 

  4. Wu W, Chen L (2008) Aesthetics and art of Shes′ modern women formal dress in Zhejiang. Text Res J 1:107–109. https://doi.org/10.13475/j.fzxb.2008.01.032

    Article  Google Scholar 

  5. Duan T (2020) Analysis of the traditional clothing fabrics and printing and dyeing process of She Nationality. Chem Fiber Text Technol 49(10):35–37. https://doi.org/10.3969/j.issn.1672-500X.2020.10.013

    Article  Google Scholar 

  6. Kuo L, Chang T, Lai CC (2022) Multimedia webpage visual design and color emotion test. Multimed Tools Appl 81:2621–2636. https://doi.org/10.1007/s11042-021-11684-4

    Article  Google Scholar 

  7. Zhao L, Wang Z, Zuo Y, Hu D (2021) Comprehensive evaluation method of ethnic costume color based on K-Means clustering method. Symmetry 13(10):1822. https://doi.org/10.3390/sym13101822

    Article  Google Scholar 

  8. Ying Cao, Antoni B Chan, Rynson W H Lau (2017) Mining probabilistic color palettes for summarizing color use in artwork collections. In SIGGRAPH Asia 2017 Symposium on Visualization (SA '17). Association for Computing Machinery, New York, NY, USA, Article 1, 1–8. https://doi.org/10.1145/3139295.3139296

  9. Yum M (2023) Digital image color analysis method to extract fashion color semantics from artworks. Multimed Tools Appl 82:17115–17133. https://doi.org/10.1007/s11042-022-14189-w

    Article  Google Scholar 

  10. Kuo L, Lin Y, Chang T et al (2023) Test the configuration and color of 3D model space design with web multimedia interface. Multimed Tools Appl. https://doi.org/10.1007/s11042-023-17000-6

    Article  Google Scholar 

  11. Zhao H, Yin Y (2020) Study on the construction of the Miao’s costume color system. J Zhejiang University (Science Edition) 06:660–668. https://doi.org/10.3785/j.issn.1008-9497.2020.06.002

    Article  Google Scholar 

  12. Pandit, Atharv (2020) A review on clothes matching and recommendation systems based on user attributes. Int J Eng Sci 09. https://doi.org/10.17577/ijertv9is080371

  13. Luo MR (2006) Applying colour science in colour design. Opt Laser Technol 38:392–398. https://doi.org/10.1016/j.optlastec.2005.06.025

    Article  Google Scholar 

  14. S Chin, J Oh (2008) Color mining based customer oriented coloring pipeline of coloring scheme for efficient City Design. 2008 International Conference on Computer and Electrical Engineering 92–95. https://doi.org/10.1109/ICCEE.2008.151

  15. Tsai HC, Chou JR (2007) Automatic design support and image evaluation of two-coloured products using colour association and colour harmony scales and genetic algorithm. Comput Aided Des 39:818–828. https://doi.org/10.1016/j.cad.2007.04.002

    Article  Google Scholar 

  16. Kuo L, Pan Z, Chang T (2023) Color aesthetics in cultural and creativive packaging designs. Multimed Tools Appl. https://doi.org/10.1007/s11042-023-17050-w

    Article  Google Scholar 

  17. Berahmand K, Daneshfar F, Salehi ES et al (2024) Autoencoders and their applications in machine learning: a survey. Artif Intell Rev 57:28. https://doi.org/10.1007/s10462-023-10662-6

    Article  Google Scholar 

  18. Rasekh Eslami Z, Zohoor S (2023) Second language (L2) pragmatics and computer assisted language learning (CALL). Technol Assist Lang Educ 1(3):1–17

    Google Scholar 

  19. Zhao L, Wang Z, Zuo Y et al (2021) Comprehensive evaluation method of ethnic costume color based on K-means clustering method. Symmetry 13(10):1822. https://doi.org/10.3390/sym13101822

    Article  Google Scholar 

  20. Xu P, Mao H, Zhang Y et al (2019) Research on the method of analysis of the color composition of ethnic costumes. Silk 56(3):24–29

    Google Scholar 

  21. Yang D, Gan J, Wen B, et al. (2017) The algorithm for extracting elements of national costume based on region growing, Proceedings of the 2017 2nd International Conference on Control, Automation and Artificial Intelligence (CAAI 2017). https://doi.org/10.2991/caai-17.2017.71

  22. Jia J, Cao J, Xu P et al (2022) Analysis of the color composition of She ethnic costumes based on network relationship models. Silk 59(11):100–107

    Google Scholar 

  23. Chen L (2023) (2023) Analysis of the color system features of Zhuang brocade. Color 08:116–118

    Google Scholar 

  24. Zhao H, Yin Y (2020) Study on the construction of the Miao’s costume color system. J Zhejiang University (Science Edition) 47(06):660–668

    Google Scholar 

  25. Barnard K, Funt B (2002) Camera characterization for color research. Color Res Appl 27(03):152–163. https://doi.org/10.1002/col.10050

    Article  Google Scholar 

  26. Yamamoto K, Kitahara M, Kimata H, Yendo T, Fujii T, Tanimoto M, Shimizu S, Kamikura K, Yashima Y (2007) Multiview video coding using view interpolation and color correction. IEEE Trans Circuits Syst Video Technol 17(11):1436–1449. https://doi.org/10.1109/TCSVT.2007.903802

    Article  Google Scholar 

  27. Finlayson GD (1996) Color in perspective. IEEE Trans Pattern Anal Mach Intell 18(10):1034–1038. https://doi.org/10.1109/34.541413

    Article  Google Scholar 

  28. Chang CY, Reid JF (1996) RGB calibration for color image analysis in machine vision. IEEE Trans Image Process 5(10):1414–1422. https://doi.org/10.1109/83.536890

    Article  Google Scholar 

  29. H Niu, Q Lu, C Wang (2018) Color correction based on histogram matching and polynomial regression for image stitching. 2018 IEEE 3rd International Conference on Image, Vision and Computing (ICIVC), pp 257–261. https://doi.org/10.1109/ICIVC.2018.8492895

  30. Finlayson GD, Mackiewicz M, Hurlbert A (2015) Color Correction using root-polynomial regression. IEEE Trans Image Process 24:1460–1470. https://doi.org/10.1109/TIP.2015.2405336

    Article  MathSciNet  Google Scholar 

  31. Wang X, Zhang D (2010) An optimized tongue image color correction scheme. IEEE Trans Inf Technol Biomed 14:1355–1364. https://doi.org/10.1109/TITB.2010.2076378

    Article  Google Scholar 

  32. Qin Xuebin , Zhang Zichen, Huang Chenyang, et al.(2020) U2-Net: Going deeper with nested U-structure for salient object detection. Pattern Recognit 106. https://doi.org/10.1016/j.patcog.2020.107404

  33. Jing J, Pinghua X, Rongrong C, Jingwen C, Xiaowan S (2023) Coloration parsing and transfer design of han folk costumes. ACM J Comput Cult He 16(4):Article 64. https://doi.org/10.1145/3586082

    Article  Google Scholar 

  34. Jia Jing Xu, Pinghua SX, Jingwen C, Ruibing L (2022) Automatic coloration of pattern based on color parsing of Sung porcelain. Text Res J 92(23–24):5066–5079. https://doi.org/10.1177/00405175221113088

    Article  Google Scholar 

  35. Angelina DMD (2013) Association rule generation for student performance analysis using apriori algorithm. SIJ Trans Comput Sci Eng Appl 1(1):12–16. https://doi.org/10.9756/SIJCSEA/V1I1/01010252

    Article  Google Scholar 

  36. Zhou SC (2021) Data mining and analysis of the compatibility law of traditional Chinese medicines based on FP-growth algorithm. Am J Math 10:1–10. https://doi.org/10.1155/2021/1045152

    Article  Google Scholar 

  37. Wang W (2019) Optimization of intelligent data mining technology in big data environment. JACIII 23(1):129–133. https://doi.org/10.20965/jaciii.2019.p0129

    Article  Google Scholar 

  38. La PT, Le B, Vo B (2014) Incrementally building frequent closed itemset lattice. Expert Syst Appl 41(6):2703–2712. https://doi.org/10.1016/j.eswa.2013.11.002

    Article  Google Scholar 

  39. Luo MR, Cui G, Rigg B (2001) The development of the CIE2000 color difference formula. Color Res Appl 26:340–350. https://doi.org/10.1002/col.1049

    Article  Google Scholar 

  40. Pecho OE, Ghinea R, Alessandretti R, Pérez MM, Bona AD (2016) Visual and instrumental shade matching using CIELAB and CIEDE2000 color difference formulas. Dent Mater J 32(1):82–92. https://doi.org/10.1016/j.dental.2015.10.015

    Article  Google Scholar 

  41. Cao J, Jia J, Xu P et al (2023) Coloration association rules parsing of She nationality costumes. J Silk 60(4):100–106

    Google Scholar 

  42. Xia F, Cai J, Lei H (2017) Exploration on typical style and characteristics of Shes clothing. J Silk 54:43–51. https://doi.org/10.3969/j.issn.1001-7003.2017.04.008

    Article  Google Scholar 

Download references

Acknowledgements

This work was supported by Zhejiang Provincial Philosophy and Social Sciences Planning Project(24LMJX09YB), Post-funded project of the National Social Science Fund of China(23FYSB044), Zhejiang Province Key Research and Development Plan(2024C01210), the Fundamental Research Funds of Zhejiang Sci-Tech University(24076109-Y), Innovation Training Plan of Zhejiang Province for University Students(XinMiao Talent Program)(2023R406072), Zhejiang Provincial Graduate Education Association Research Project(2023-012)and Graduate Education and Teaching Reform Research of Zhejiang Sci-Tech University(YJG-Z202301).

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Authors and Affiliations

  1. School of Fashion Design & Engineering, Zhejiang Sci-Tech University, Hangzhou, 310018, Zhejiang, China

    Jingwen Cao, Pinghua Xu, Siyi Wu, Wenqing Jiang & Ruibing Lin

  2. Digital Intelligence Style and Creative Design Research Center, Key Research Center of Philosophy and Social Sciences, Zhejiang Sci-Tech University, Hangzhou, 310018, Zhejiang, China

    Pinghua Xu

  3. Key Laboratory of Silk Culture Heritage and Products Design Digital Technology, Ministry of Culture and Tourism, P.R.China, Hangzhou, Zhejiang, 310018, China

    Pinghua Xu

  4. School of Art & Design, Zhejiang Sci-Tech University, Hangzhou, 310018, Zhejiang, China

    Liping Zhang

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  1. Jingwen Cao
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Correspondence to Pinghua Xu.

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I would like to submit the manuscript entitled “Automatic Exploration and Transfer Design of Associative Rules in She Ethnic Clothing Coloration” to be considered for publication as an original article in the Multimedia Tools and Applications. We declare that this manuscript is original, has not been published before, and is not currently being considered for publication elsewhere.

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Cao, J., Xu, P., Wu, S. et al. Automatic exploration and transfer design of associative rules in She Ethnic Clothing Coloration. Multimed Tools Appl (2024). https://doi.org/10.1007/s11042-024-19357-8

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