[1]于峻璎,夏乾龙,姜中华*,等.基于Canny轮廓提取与区域分割的堆锦数字制版方法[J].服装学报,2026,11(01):28-35.
 YU Junying,XIA Qianlong,JIANG Zhonghua*,et al.Digital Plate Making for Duijin Based on Canny Contour Extraction and Connected Region Segmentation[J].Journal of Clothing Research,2026,11(01):28-35.
点击复制

基于Canny轮廓提取与区域分割的堆锦数字制版方法()

《服装学报》[ISSN:2096-1928/CN:32-1864/TS]

卷:
第11卷
期数:
2026年01期
页码:
28-35
栏目:
服装工程
出版日期:
2026-03-13

文章信息/Info

Title:
Digital Plate Making for Duijin Based on Canny Contour Extraction and Connected Region Segmentation
作者:
于峻璎1;  夏乾龙1;  姜中华*1;  闫向军2
1.太原理工大学 轻纺工程学院,山西 晋中 030600; 2.长治类通堆锦工艺有限公司,山西 长治 046000
Author(s):
YU Junying1;  XIA Qianlong1;  JIANG Zhonghua*1;  YAN Xiangjun2
1.College of Textile Engineering,Taiyuan University of Technology, Jinzhong 030600,China; 2. Changzhi Leitong Duijin Technology Co., Ltd., Changzhi 040600,China
分类号:
TS 941.19
文献标志码:
A
摘要:
针对传统堆锦制作中拆版速率低的问题,提出一种基于图像处理的堆锦智能制版算法。以传统堆锦图像为研究对象,采用双边滤波进行去噪与色彩均衡处理,以增强图案细节; 利用Canny算法进行轮廓提取与优化,形成合理的连通区域; 通过Two-Pass算法进行连通区域标记,并利用K-means聚类上色,生成以色彩坐标为特征的数字化拆版结果。研究表明:该方法能够高效、准确地识别与分割堆锦底稿,显著提升拆版效率。该实验为堆锦技艺的数字化传承与样本保存提供了新的技术路径。
Abstract:
In response to the low decoupling rate in pile brocade production techniques, this study proposes an intelligent algorithm for brocade pattern generation. Using traditional pile brocade images as the research subject, a bilateral filtering algorithm was applied to denoise the images and achieve automatic color equalization, thereby enhancing the accuracy of image details. Subsequently, the Canny edge detection algorithm was employed to extract and optimize contours, enabling the formation of structurally coherent regions. Connected-component labeling was performed using the Two-Pass algorithm, followed by K-means clustering for color segmentation, resulting in a decoupling output based on color coordinates. Experimental results demonstrate that the integration of Canny-based contour extraction with connected-region clustering and segmentation effectively identifies and separates master patterns, significantly improving the efficiency of pile brocade decoupling. This approach presents a novel methodology for the preservation, organization, and sustainable development of pile brocade heritage, offering a systematic solution for sample conservation and cultural transmission.

参考文献/References:

[1] 张环. 浅析上党堆锦的文化生成及演变[D]. 长春: 东北师范大学, 2010.
[2] 阎德明. 长治堆锦——“堆锦文化”的辉煌记忆[M]. 太原: 山西教育出版社, 2011.
[3] 杨小梅.上党堆锦艺术活态传承数字化保护在线平台设计研究[D].芜湖:安徽工程大学,2021.
[4] 高洁崧, 康建东. 非物质文化遗产保护与传播的智能化赋能[J]. 人民论坛·学术前沿, 2024(2): 102-106.
Gao Jiesong, Kang Jiandong. Intelligent empowerment in the protection and dissemination of intangible cultural heritage[J]. Frontiers, 2024(2): 102-106.(in Chinese)
[5] 李俞霏, 梁惠娥. 明代织物纹样的智能提取——以斗牛袍为例[J]. 丝绸, 2018, 55(11): 53-58.
Li Yufei, Liang Hui’e. Intelligent extraction of patterns from Ming Dynasty fabrics: the case study of the bullfight robe[J]. Journal of Silk, 2018, 55(11): 53-58.(in Chinese)
[6] 赵海英, 王梓舟. 基于多层判别式字典学习算法的传统服饰图像分类[J]. 北京邮电大学学报, 2023, 46(2): 104-108.
Zhao Haiying, Wang Zizhou. Traditional clothing image classification algorithm based on multi-layer discriminant dictionary learning[J]. Journal of Beijing University of Posts and Telecommunications, 2023, 46(2): 104-108.(in Chinese)
[7] 王晓予, 向军, 潘如如, 等. 服饰刺绣图案的自动提取与色块分割[J]. 纺织学报, 2017, 38(9): 120-126.
Wang Xiaoyu, Xiang Jun, Pan Ruru, et al. Automatic extraction on embroidered patterns of traditional costumes[J]. Journal of Textile Research, 2017, 38(9): 120-126.(in Chinese)
[8] 纪乐福,王永江,李启正.基于DreamBooth的傣锦图案人工智能生成模型[J].服装学报,2024,9(5):433- 442.
JI Lefu,Wang Yongjiang,LI Qizheng.Artificial intelligence generation model for Dai brocade pattern based on DreamBooth[J].Journal of Clothing Research,2024,9(5):433- 442.(in Chinese)
[9] 冯青, 郭昊麟. 数字化视域下的宋代缂丝设计元素提取与应用[J]. 包装工程, 2022, 43(12): 250-256, 272.
Feng Qing, Guo Haolin. Extraction and application of kesi design elements in Song Dynasty in the digital perspective[J]. Packaging Engineering, 2022, 43(12): 250-256, 272.(in Chinese)
[10] 贾小军, 叶利华, 邓洪涛, 等. 基于卷积神经网络的蓝印花布纹样基元分类[J]. 纺织学报, 2020, 41(1): 110-117.
Jia Xiaojun, Ye Lihua, Deng Hongtao, et al. Elements classification of vein patterns using convolutional neural networks for blue calico[J]. Journal of Textile Research, 2020, 41(1): 110-117.(in Chinese)
[11] 刘静, 庄梅玲, 商蕾, 等. 基于色彩聚类的皮影服饰纹样分割[J]. 现代纺织技术, 2021, 29(5): 71-77.
Liu Jing, Zhuang Meiling, Shang Lei, et al. Pattern segmentation of shadow puppetry costumes based on color clustering[J]. Advanced Textile Technology, 2021, 29(5): 71-77.(in Chinese)
[12] 郭昕刚, 王佳, 屈诺希, 等. 基于梯度方向的Canny SLIC图像分割算法[J]. 计算机仿真, 2021, 38(9): 465- 469, 500.
Guo Xingang, Wang Jia, Qu Nuoxi, et al. Canny SLIC image segmentation algorithm based on gradient direction[J]. Computer Simulation, 2021, 38(9): 465- 469, 500.(in Chinese)
[13] 章瑞智, 李诗婷, 蒋莉. 传统服饰纹样设计转化研究的演进脉络与热点主题[J]. 丝绸, 2024, 61(5): 7-15.
Zhang Ruizhi, Li Shiting, Jiang Li. Evolution and hot topics of traditional clothing pattern design transformation research[J]. Journal of Silk, 2024, 61(5): 7-15.(in Chinese)
[14] 陈东博, 袁洪, 王璐, 等. 中国非遗产品设计的研究现状与发展趋势[J]. 包装工程, 2024, 45(14): 71-84.
Chen Dongbo, Yuan Hong, Wang Lu, et al. Research status and development trend of intangible cultural heritage product design in China[J]. Packaging Engineering, 2024, 45(14): 71-84.(in Chinese)
[15] 徐雨露, 侯珏, 杨阳, 等. 基于色彩和边缘信息的妆花缎意匠图自动生成技术[J]. 服装学报, 2025, 10(3): 275-282.
Xu Yulu, Hou Jue, Yang Yang, et al. Automatic generation technology of makeup satin design drawings based on color and edge information[J]. Journal of Clothing Research, 2025, 10(3): 275-282(in Chinese)
[16] 顾文娟, 丁灿, 魏金, 等. 基于双边滤波MSR与AutoMSRCR融合的低光照图像增强[J]. 光学精密工程, 2023, 31(24): 3606-3617.
Gu Wenjuan, Ding Can, Wei Jin, et al. Low-light image enhancement based on the fusion of Bilateral filter MSR and AutoMSRCR[J]. Optics and Precision Engineering, 2023, 31(24): 3606-3617.(in Chinese)
[17] 张有航. 基于人眼视觉感知特性的自适应双边滤波算法[J]. 机电产品开发与创新, 2022, 35(2): 10-12, 32.
Zhang Youhang. An adaptive bilateral filter algorithm based on human visual perceptual characteristics[J]. Development and Innovation of Machinery and Electrical Products, 2022, 35(2): 10-12, 32.(in Chinese)
[18] 王鑫刚, 田军委, 于亚琳, 等. 改进Canny算法的红外人脸图像边缘轮廓提取[J]. 应用光学, 2023, 44(1): 61-70.
Wang Xingang, Tian Junwei, Yu Yalin, et al. Edge contour extraction of infrared face image based on improved Canny algorithm[J]. Journal of Applied Optics, 2023, 44(1): 61-70.(in Chinese)
[19] 李靖, 王慧, 闫科, 等. 改进Canny算法的图像边缘增强方法[J]. 测绘科学技术学报, 2021, 38(4): 398- 403.
Li Jing, Wang Hui, Yan Ke, et al. Improved canny algorithm for image edge enhancement[J]. Journal of Geomatics Science and Technology, 2021, 38(4): 398- 403.(in Chinese)
[20] 杜绪伟, 陈东, 马兆昆, 等. 基于Canny算子的改进图像边缘检测算法[J]. 计算机与数字工程, 2022, 50(2): 410- 413, 457.
Du Xuwei, Chen Dong, Ma Zhaokun, et al. Improved image edge detection algorithm based on canny operator[J]. Computer and Digital Engineering, 2022, 50(2): 410- 413, 457.(in Chinese)
[21] 梅永, 庄建军. 基于Canny边缘检测的图像预处理优化算法[J]. 信息技术, 2022(1): 75-79.
Mei Yong, Zhuang Jianjun. Image preprocessing optimoization algorithm based on Canny edge detection[J]. Information Techno-logy, 2022(1): 75-79.(in Chinese)
[22] 孙洋,孙林,夹尚丰,等.一种基于边缘形状特征的字符缺陷检测算法[J].计算机应用与软件,2023,40(9):177-183.
Sun Yang, Sun Lin,Jia Shangfeng. A character defect detection algorithm based on edge shape features [J]. Computer Applications and Software, 2023,40(9):177-183.(in Chinese)
[23] 李安娜, 梁燕. 基于聚类算法的黔东南苗族鸟纹刺绣图案色彩特征研究[J]. 包装工程, 2023, 44(24): 357-366, 397.
Li Anna, Liang Yan. Color characteristics of bird pattern embroidery of Miao in Qiandongnan based on K-means clustering algorithm[J]. Packaging Engineering, 2023, 44(24): 357-366, 397.(in Chinese)
[24] 姜月秋, 牛硕, 高宏伟. 一种新的基于K均值聚类的色彩量化算法研究[J]. 计算机科学, 2012, 39(增刊3): 375-377.
Jiang Yueqiu, Niu Shuo, Gao Hongwei. New color quantization algorithm based on K-means clustering[J]. Computer Science, 2012, 39(S3): 375-377.(in Chinese)
[25] 陈思燕, 方丽英. 基于K-Means和高斯混合模型的云肩色彩提取方法对比[J]. 服装学报, 2021, 6(2): 131-137.
Chen Siyan, Fang Liying. Comparative study of cloud shoulder color extraction methods based on K-means and Gaussian mixture model[J]. Journal of Clothing Research, 2021, 6(2): 131-137.(in Chinese)
[26] 邱笑迎. 基于颜色特征的面料花型图案检索算法[J]. 计算机时代, 2023(9): 92-95.
Qiu Xiaoying. Fabric pattern retrieval algorithm based on color feature[J]. Computer Era, 2023(9): 92-95.(in Chinese)
[27] 廖旋, 缪君, 储珺, 等. 融合分割先验的多图像目标语义分割[J]. 中国图象图形学报, 2019, 24(6): 890-901.
Liao Xuan, Miao Jun, Chu Jun, et al. Multi-image object semantic segmentation by fusing segmentation priors[J]. Journal of Image and Graphics, 2019, 24(6): 890-901.(in Chinese)
[28] 刘静, 庄梅玲, 石历丽, 等. 基于纹理平滑和GrabCut的皮影图案轮廓的智能提取[J]. 丝绸, 2020, 57(11): 20-27.
Liu Jing, Zhuang Meiling, Shi Lili, et al. Intelligent contour extraction of shadow patterns based on texture smoothing and GrabCut[J]. Journal of Silk, 2020, 57(11): 20-27.(in Chinese)
(责任编辑:张 雪)

更新日期/Last Update: 2026-02-28