[1]石文慧,朱海峰,蒋汶秦,等.传统纺织品图案的屈曲矫正与再生设计[J].服装学报,2025,10(01):40-0045.
　SHI Wenhui,ZHU Haifeng,JIANG Wenqin,et al.Curvature Correction and Regenerative Design of Traditional Textile Patterns[J].Journal of Clothing Research,2025,10(01):40-0045.
点击复制

传统纺织品图案的屈曲矫正与再生设计()
分享到：

《服装学报》[ISSN:2096-1928/CN:32-1864/TS]

卷:
第10卷
期数:
2025年01期
页码:
40-0045
栏目:
服装智造
出版日期:
2025-03-15

文章信息/Info

Title:
Curvature Correction and Regenerative Design of Traditional Textile Patterns
作者:
石文慧1;  朱海峰1;  蒋汶秦1;  倪嘉陆1;  徐平华*1; 2
1.浙江理工大学 服装学院,浙江 杭州 310018; 2. 浙江理工大学 浙江省哲学社会科学重点培育研究基地数智风格与创意设计研究中心,浙江 杭州 310018
Author(s):
SHI Wenhui1;  ZHU Haifeng1;  JIANG Wenqin1;  NI Jialu1;  XU Pinghua*1; 2
1.School of Fashion Design and Engineering, Zhejiang Sci-Tech University, Hangzhou 310018, China; 2.Digital Intelligence Style and Creative Design Research Center, Key Research Center of Philosophy and Social Sciences, Zhejiang Sci-Tech University, Hangzhou 310018, China
分类号:
TS 941.2
文献标志码:
A
摘要:
为解决传统纺织品成像屈曲造成的图案变形问题,探究基于内容的图像拉伸方法,同时对矫正后的图案进行再生设计。通过计算图像的能量矩阵得到端到端的最小能量曲线,利用周边信息计算出填补像素; 通过路径动态规划的迭代来实现图像在水平和垂直方向上的内容填充,从而实现屈曲图像的矫正。利用边缘检测、矢量化操作和颜色聚类等方法,对纹样和色彩进行再生设计。将基于能量矩阵矫正图案屈曲的方法与其他常用的形态矫正算法进行对比。结果表明,基于能量矩阵矫正图案屈曲的方法在保全内容的前提下,能够有效实现屈曲图案的形态矫正。借助图像处理技术,可以提取矫正后图案的纹样和色彩,应用于当代产品创新设计。
Abstract:
To address the issue of pattern distortion caused by buckling in traditional textile imaging, this study investigated a content-based image stretching method and applied regenerated design to the corrected patterns. By calculating the energy matrix of the image, an end-to-end minimum energy path was determined, and peripheral information was utilized to compute pixel filling. Through iterative dynamic path planning, content filling in both horizontal and vertical directions was achieved, enabling the correction of buckled images. Edge detection, vectorization, and color clustering were employed to regenerate patterns and colors. A comparative analysis between the proposed content-based buckling correction method and other common morphological correction algorithms demonstrates that this approach effectively corrects buckled patterns while preserving content integrity. With the help of image processing techniques the corrected patterns and colors can be extracted and applied to the innovative design of contemporary products.

参考文献/References:

[1] 李沛, 刘水. 望城皮影影人服饰图案的艺术特征及功能探析[J]. 丝绸, 2020, 57(8): 116-121.
LI Pei, LIU Shui. Analysis of artistic features and functions of costume patterns of shadow puppets in Wangcheng[J]. Journal of Silk, 2020, 57(8): 116-121.(in Chinese)
[2] 吕耀文, 安喆, 徐熙平. 鱼眼视频图像畸变的实时校正方法[J]. 吉林大学学报(理学版), 2017, 55(1): 103-108.
LYU, AN Zhe, XU Xiping. Real-time correction method for fisheye video images distortion[J]. Journal of Jilin University(Science Edition), 2017, 55(1): 103-108.(in Chinese)
[3] HU S H, LIU Z, YU L, et al. Sparse Bayesian learning for image rectification with transform invariant low-rank textures[J]. Signal Processing, 2017, 137: 298-308.
[4] BOUKHAROUBA A. A new algorithm for skew correction and baseline detection based on the randomized Hough transform[J]. Journal of King Saud University-Computer and Information Sciences, 2017, 29(1): 29-38.
[5] 孙晓婉, 俞楠, 徐平华, 等. 隋唐时期联珠团窠纹智能再生设计研究[J]. 针织工业, 2023(2): 65- 69.
SUN Xiaowan, YU Nan, XU Pinghua, et al. Research on intelligent regeneration design of lianzhu tuanke pattern in Sui and Tang Dynasties[J]. Knitting Industries, 2023(2): 65- 69.(in Chinese)
[6] 任艳博, 蒋超, 王教庆, 等. 基于聚类算法和色彩网络的蝴蝶色彩分析及应用[J]. 纺织学报, 2021, 42(5): 103-108.
REN Yanbo, JIANG Chao, WANG Jiaoqing, et al. Butterfly color analysis and application based on clustering algorithm and color network[J]. Journal of Textile Research, 2021, 42(5): 103-108.(in Chinese)
[7] 徐明慧, 徐平华, 韦秋菊, 等. 基于网络关系模型的品牌女装配色解析[J]. 纺织学报, 2021, 42(11): 137-142, 150.
XU Minghui, XU Pinghua, WEI Qiuju, et al. Color parsing of female brand clothing based on nexus network modeling[J]. Journal of Textile Research, 2021, 42(11): 137-142, 150.(in Chinese)
[8] 曹竟文, 贾静, 徐平华, 等. 畲族传统服装设色关联规则分析[J]. 丝绸, 2023, 60(4): 100-106.
CAO Jingwen, JIA Jing, XU Pinghua, et al. Coloration association rules parsing of She nationality costumes[J]. Journal of Silk, 2023, 60(4): 100-106.(in Chinese)
[9] 李韶君, 邓富泉, 许杰婷, 秦双怡, 叶安乐. 哈萨克族马具装饰纹样设计因子提取及其在皮革制品中的应用研究[J]. 皮革科学与工程, 2024, 34(6): 96-103.
LI Shaojun, DENG Fuquan, XU Jieting,et al. Extraction of Design factors of Kazakh horse tack decorative patterns and their application in leather goods[J]. Leather Science and Engineering, 2024, 34(6): 96-103.(in Chinese)
[10] 孙滨峰, 叶春, 李艳大, 等. 基于颜色指数与阈值法的稻田图像分割[J]. 中国农业大学学报, 2022, 27(5): 86-95.
SUN Binfeng, YE Chun, LI Yanda, et al. Paddy field image segmentation based on color indices and thresholding method[J]. Journal of China Agricultural University, 2022, 27(5): 86-95.(in Chinese)
[11] 张翠军, 赵娜. 基于概率神经网络改进的GrabCut算法[J]. 激光与光电子学进展, 2021, 58(2): 0210024.
ZHANG Cuijun, ZHAO Na. Improved GrabCut algorithm based on probabilistic neural network[J]. Laser and Optoelectronics Progress, 2021, 58(2): 0210024.(in Chinese)
[12] 缂丝锦鸡方补. 故宫博物院[EB/OL].[2023-06-20].www.dpm.org.cn/collection/embroider/230161.html.
[13] AVIDAN S, SHAMIR A. Seam carving for content-aware image resizing[J]. ACM Transactions on Graphics, 2007, 26(99): 10.
[14] GONZALEZ C I, MELIN P, CASTRO J R, et al. An improved sobel edge detection method based on genera-lized type-2 fuzzy logic[J]. Soft Computing, 2016, 20(2): 773-784.
[15] 桂预风, 吴建平. 基于Laplacian算子和灰色关联度的图像边缘检测方法[J]. 汕头大学学报(自然科学版), 2011, 26(2): 69-73.
GUI Yufeng, WU Jianping. An image edge detection method base on Laplacian operator and degree of gray relation[J]. Journal of Shantou University(Natural Science Edition), 2011, 26(2): 69-73.(in Chinese)
[16] XUAN L, HONG Z. An improved canny edge detection algorithm[C]//2017 8th IEEE International Conference on Software Engineering and Service Science(ICSESS).Beijing: IEEE, 2017: 275-278.
[17] RONG W B, LI Z J, ZHANG W, et al. An improved Canny edge detection algorithm[C]//2014 IEEE International Conference on Mechatronics and Automation. Tianjin: IEEE, 2014: 577-582.
[18] 韩玉鑫, 王晓凯, 陆金旺. 实时彩色图像自适应中值滤波算法的FPGA实现[J]. 计算机测量与控制, 2022, 30(7): 173-180.
HAN Yuxin, WANG Xiaokai, LU Jinwang. Real-time color image adaptive Median filtering algorithm based on FPGA[J]. Computer Measurement and Control, 2022, 30(7): 173-180.(in Chinese)
[19] LI T M, et al. Differentiable vector graphics rasterization for editing and learning[J]. ACM Transactions on Graphics(TOG), 2020,39(6): 1-15.
[20] JIA J, XU P H, SUN X W, et al. Automatic coloration of pattern based on color parsing of Sung porcelain[J]. Textile Research Journal, 2022, 92(23/24): 5066-5079.
[21] 陈郁,雷聪聪.基于K-Means聚类算法的秀场服装用色风格[J].服装学报,2024,9(3):268-273.
CHEN Yu,LEI Congcong.color style of fashion show clothing based on K-means clustering algorithm[J].Journal of Clothing Research,2024,9(3):268-273.(in Chinese)
[22] 织绣文物. 故宫博物院[EB/OL].[2023-06-20]https://www.dpm.org.cn/collection/embroiders.html.
[23] 张祥祥, 吕学强, 韩晶, 等. TIMR: 模板图像匹配矫正[J]. 小型微型计算机系统, 2022, 43(4): 807-814.
ZHANG Xiangxiang, LV Xueqiang, HAN Jing, et al. TIMR: template image matching rectification[J]. Journal of Chinese Computer Systems, 2022, 43(4): 807-814.(in Chinese)
(责任编辑:张 雪)

更新日期/Last Update: 2025-02-28