[1]王 蕾,顾先雯,张鹏飞,等.基于图像处理的男衬衫外观平整度自动评估[J].服装学报,2025,10(03):268-274.
　WANG Lei,GU Xianwen,ZHANG Pengfei,et al.Automatic Evaluation of Men’s Shirt Appearance Smoothness Based on Image Processing[J].Journal of Clothing Research,2025,10(03):268-274.
点击复制

基于图像处理的男衬衫外观平整度自动评估()

《服装学报》[ISSN:2096-1928/CN:32-1864/TS]

卷:
第10卷
期数:
2025年03期
页码:
268-274
栏目:
图像处理及生成技术专题
出版日期:
2025-07-01

文章信息/Info

Title:
Automatic Evaluation of Men’s Shirt Appearance Smoothness Based on Image Processing
作者:
王 蕾;  顾先雯;  张鹏飞;  潘如如;  高卫东
江南大学 特种防护纺织品教育部重点实验室,江苏 无锡 214122
Author(s):
WANG Lei;  GU Xianwen;  ZHANG Pengfei;  PAN Ruru;  GAO Weidong
Key Laboratory of Special Protective Textiles, Ministry of Education, Jiangnan University, Wuxi 214122, China
分类号:
TP 391.41; TS 941.713
文献标志码:
A
摘要:
为解决人工检验对服装平整度评价易产生主观性强、再现性差、效率低等问题,以GB/T 19980—2005中的评分标准为基础,构建男衬衫平整度自动评估算法。该算法基于灰度共生矩阵的方法对衬衫侧缝位置进行分部位特征提取、等级区间划分以及自动评级; 同时,自动赋予衬衫特征部位客观权重比,并参考标准中的评分方法进行加权计算,构建外观平整度整体评分计算模型,实现对男衬衫外观平整度的自动评估。研究表明:相比人工评价方法,自动评估算法具有更好的再现性,且与主观评价结果对比一致性可达0.970,证明该方法可有效解决人工评价方法存在的问题。
Abstract:
To address the limitations of manual garment smoothness evaluation—including strong subjectivity, poor reproducibility and low efficiency this study develops an automated assessment algorithm for men’s shirt smoothness based on the scoring principles of China’s GB/T 19980-2005 standard. The algorithm utilizes Gray-Level Co-occurrence Matrix(GLCM)for region-specific feature extraction at side seams, grade interval division, and automatic rating. It automatically assigns objective weight ratios to key garment features and establishes a comprehensive smoothness scoring model through weighted calculation according to the standard’s scoring method, enabling automated evaluation of men’s shirt appearance smoothness. Experimental results demonstrate that compared with manual evaluation, the proposed algorithm exhibits superior reproducibility and achieves a 0.970 consistency with subjective assessments, proving its effectiveness in overcoming the shortcomings of human-dependent evaluation methods.

参考文献/References:

[1] 贾满兰,张雪青,马玲. 服装外观质量检测方法的研究[J]. 纺织检测与标准, 2022, 8(2): 32-35.
JIA Manlan,ZHANG Xueqing,MA Ling. Research on the detection method of garment appearance quality[J]. Textile Testing and Standards, 2022, 8(2): 32-35.(in Chinese)
[2] 国家市场监督管理总局, 中国家标准化管理委员会. 纺织品 服装及其他纺织最终产品经家庭洗涤和干燥后外观的评价方法: GB/T 19980—2005[S]. 北京: 中国标准出版社, 2006.
[3] The American Association of Textile Chemists and Colorists. AATCC 143—2018t. Appearance of apparel and other textile end products after repeated home laundering[S]. Research Triangle Park, NC, USA: AATCC Technical Manual, 2018.
[4] ABRIL H C, MILLáN M S, VALENCIA E. Influence of the wrinkle perception with distance in the objective evaluation of fabric[J]. Journal of Optics A: Pure and Applied Optics, 2008, 10(10): 104030.
[5] The American Association of Textile Chemists and Colorists. AATCC 124—2018. The appearance flatness of fabrics after multiple home washes [S]. Research Triangle Park,USA: AATCC Technical Manual, 2018.
[6] The American Association of Textile Chemists and Colorists. AATCC 88B—2018. The flatness of fabric seams after multiple home washes [S]. Research Triangle Park, USA: AATCC Technical Manual, 2018.
[7] WANG J G, SHI K J, WANG L, et al. Decoloration of multi-color fabric images for fabric appearance smoothness evaluation by supervised image-to-image translation[J]. IEEE Access, 2019, 7: 181284-181294.
[8] ZHAN Z, ZHANG W J, CHEN X, et al. Objective evaluation of fabric flatness grade based on convolutional neural network[J]. Journal of Shanghai Jiaotong University(Science), 2021, 26(4): 503-510.
[9] PAN R R, GAO W D, LI W, et al. Image analysis for seam-puckering evaluation[J]. Textile Research Journal, 2017, 87(20): 2513-2523.
[10] KIM M, SUL I H, KIM S. Development of a sewing machine controller for seam pucker reduction using online measurement feedback system[J]. Journal of Engineered Fibers and Fabrics, 2017, 12(2): 67-72.
[11] 胡孟月,冀艳波,刘凯旋.基于感性工学的男衬衫几何纹样评价[J].毛纺科技,2021,49(7):35-39.
HU Mengyue, JI Yanbo, LIU Kanxuan. Geometric pattern evaluation of men’s shirts based on sensory engineering [J]. Woolen Textile Technology, 2021,49(7):35-39.(in Chinese)
[12] 宋莹, 阮胜坤. 基于数量化理论Ⅰ的男衬衫设计要素感性评价[J]. 丝绸, 2023, 60(3): 105-112.
SONG Ying, RUAN Shengkun. Perceptual evaluation of men’s shirt design based on quantitative theory I[J]. Journal of Silk, 2023, 60(3): 105-112.(in Chinese)
[13] 杨彦梅,何瑛. 针对街头场景的女衬衫个性化推荐[J]. 服装学报, 2023, 8(5): 465- 470.
YANG Yanmei, HE Ying. Personalized recommendation of blouse based on street scene [J]. Journal of Clothing Research, 2023, 8(5): 465- 470.(in Chinese)
[14] HARALICK R M, SHANMUGAM K, DINSTEIN I. Textural features for image classification[J]. IEEE Transactions on Systems, Man, and Cybernetics, 1973, 3(6): 610- 621.
[15] 高士忠. 基于灰度共生矩阵的织物纹理分析[J]. 计算机工程与设计, 2008, 29(16): 4385- 4388.
GAO Shizhong. Analysis of fabric texture based on GLCM[J]. Computer Engineering and Design, 2008, 29(16): 4385- 4388.(in Chinese)
[16] 王敬雪, 庄梅玲. 基于Snake-Net算法的刺绣针法识别[J]. 现代纺织技术, 2023, 31(4): 236-249.
WANG Jingxue, ZHUANG Meiling. Embroidery stitch recognition based on Snake-Net algorithm[J]. Advanced Textile Technology, 2023, 31(4): 236-249.(in Chinese)
[17] 国家市场监督管理总局, 中国国家标准化管理委员会. 纺织品 试验用家庭洗涤和干燥程序: GB/T 8629—2017[S]. 北京: 中国标准出版社, 2017.(责任编辑:张 雪)

相似文献/References:

[1]张蒙蒙,庄梅玲*,陈素英.基于褶皱图像识别的着装合体性评价技术[J].服装学报,2017,2(06):497.
　ZHANG Mengmeng,ZHUANG Meiling*,CHEN Suying.Evaluation Technique of Dress Fit Based on Wrinkle Image Recognition[J].Journal of Clothing Research,2017,2(03):497.
[2]张佳慧,王建萍*,吴巧英,等.基于图像处理的翻驳领造型与织物性能关系[J].服装学报,2021,6(01):8.
　ZHANG Jiahui,WANG Jianping*,WU Qiaoying,et al.Relationship Between Property of Fabric and Shape of Lapel Collar Based on Image Processing[J].Journal of Clothing Research,2021,6(03):8.
[3]付燕璇,何 瑛*.基于纬平织物力学性能的3D模拟效果优化[J].服装学报,2022,7(04):296.
　FU Yanxuan,HE Ying*,Optimization of 3D Simulation Effect Based on Mechanical Properties of Weft Flat Fabric[J].Journal of Clothing Research,2022,7(03):296.
[4]张 钥,陈玮婷,王利君*.基于CLO 3D的机织黏合衬悬垂效果模拟[J].服装学报,2023,8(04):290.
　ZHANG Yue,CHEN Weiting,WANG Lijun*.Simulation of the Overhang Effect of Woven Adhesive Lining Based on CLO 3D[J].Journal of Clothing Research,2023,8(03):290.
[5]张启泽,杜 聪,庹 武,等.基于图像处理的男西装前身褶皱弊病识别[J].服装学报,2024,9(06):484.
　ZHANG Qize,DU Cong,TUO Wu,et al.Recognition of Front Bodice Wrinkle Defects in Men’s Suits Based on Image Processing[J].Journal of Clothing Research,2024,9(03):484.
[6]童俊毅,李效宇,苑宇豪,等.基于卷积神经网络的羊绒纤维长度检测模型及其应用[J].服装学报,2025,10(06):471.
　TONG Junyi,LI Xiaoyu,YUAN Yuhao,et al.Cashmere Fiber Length Measurement Model Based on Convolutional Neural Network and Its Application[J].Journal of Clothing Research,2025,10(03):471.
[7]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.
　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(03):28.

更新日期/Last Update: 2025-06-30