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一种纺织文物图样数字化修复方法研究 被引量:7

Research on a digital restoration method for textile cultural relics
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摘要 纺织文物的图样由于受到诸多因素的影响而遭到损坏,文物图样的复原对考古和设计等行业具有极大的意义。文章对纺织文物图样形式和破损情况进行分类研究;基于Criminisi算法进行改进,提升了置信项和优先级计算的可靠性,实现了规律型图样的数字化修复技术;利用人机交互的形式,通过人工补全缺失图样结构和稀疏表示模型,实现了画作型图样的数字化修复技术;并最终系统地提出了纺织文物图样数字化修复方法和修复流程。案例验证表明,所提出的技术和方法可以较好地实现纺织文物图样的数字化修复,并显著缩短了修复耗时,提高了修复效率。 The pattern of textile relics has been damaged due to many factors, and the restoration of cultural relic patterns has great significance for the archeology and design industries. In this paper, the forms and damages of textile relics patterns were classified and investigated. By improving based on the Criminisi algorithm, the reliability of confidence items and priority calculation was promoted, and the digital restoration technology of regular patterns was realized. By manually replenishing the defective pattern structure with man-computer interaction and the sparse representation model, the digital repair technique for the painting pattern was implemented. Finally, the digital restoration method and repair process of textile cultural relics were systematically proposed. The case study shows that the proposed technology and method can better realize the digital repair of textile cultural relics, significantly shorten the repair time and improve the repair efficiency.
作者 蒋超 汪家杰 俞琳 JIANG Chao;WANG Jiajie;YU Lin(Apparel and Art Design College,Xi’an Polytechnic University,Xi’an 710048,China;Art College,Xi’an University of Science and Technology,Xi’an 710061,China;Key Laboratory of Modern Design and Integrated Manufacturing Technology,Ministry of Education,Northwest Polytechnical University,Xi’an 710072,China)
出处 《丝绸》 CAS CSCD 北大核心 2019年第11期21-25,共5页 Journal of Silk
基金 陕西省社会科学基金年度项目(2019K036) 陕西省教育厅科研计划项目(16JK1484) 西安工程大学哲学社会科学研究项目(2019ZXSK05)
关键词 纺织文物 文物图样 图样修复 计算机辅助设计 计算机图像处理 textile cultural relic cultural relic pattern pattern repair computer aided design computer image processing
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  • 1王伟伟,杨延璞,杨晓燕,余隋怀.基于形状文法的产品形态创新设计研究与实践[J].图学学报,2014,35(1):68-73. 被引量:81
  • 2苏洁.中国传统吉祥图案在现代服装设计中的艺术表现[J].丝绸,2006,43(6):15-17. 被引量:22
  • 3Bertalmio M, Sapiro G, Caselles V, et al. Image Inpainting [C]. International Conference on Computer Graphics and Interactive Techniques, New Orleans, Louisiana, USA, 2000.
  • 4Ballester C, Bertalmio M, Caselles V, et al. Filling-in by Joint Interpolation of Vector Fields and Gray Levels[J]. IEEE Trans on Image Processing, 2001, 10(8): 1 200-1 211.
  • 5Chan T F, Shen J. Mathmatical Models of Local Non-texture Inpaintings[C]. SIAM Journal of Applied Mathematics, 2001, 62(3): 1 019-1 043.
  • 6Chan T F, Shen J. Non-texture Inpainting by Curvature Driven Diffusions (CDD)[J].Journal of Visual Communication and Image Representation. 2001, 12 (4) : 436-449.
  • 7Oliveira M M, Bowen B, McKenna R, et al. Fast Digital Image Inpainting[A]. The Visualization, Imaging, and Image Processing IASTED Conference, Marbella, Spain, 2001.
  • 8Besag J. Spatial Interaction and the Statistical Analysis of Lattice Systems [J ]. Journal of the Royal Statistical Society(Series B), 1974, 36(2):192-236.
  • 9Rao A R, Jain R C. Computerized Flow Field Analysis:Oriented Texturefields[J]. IEEE Transactionson Pattern Analysis and Machine Intelligence, 1992, 14 (7): 693-709.
  • 10王连海.中国民俗艺术品鉴赏[M].济南:山东科学技术出版社,2001.

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