Journal of Textile Research ›› 2019, Vol. 40 ›› Issue (11): 45-49.doi: 10.13475/j.fzxb.20181100806

• Textile Engineering • Previous Articles     Next Articles

Local fabric texture stability characterization using general dictionary

WU Ying1,2(), ZHAN Zhu3, WANG Jun3,4   

  1. 1. School of Fashion Design & Engineering, Zhejiang Sci-Tech University, Hangzhou, Zhejiang 310018, China
    2. Zhejiang Province Engineering Laboratory of Clothing Digital Technology, Zhejiang Sci-Tech University, Hangzhou, Zhejiang 310018, China
    3. College of Textiles, Donghua University, Shanghai 201620, China
    4. Key Laboratory of Textile Science & Technology, Ministry of Education, Donghua University, Shanghai 201620, China
  • Received:2018-11-02 Revised:2019-03-07 Online:2019-11-15 Published:2019-11-26

RichHTML

9

PDF (PC)

112

Abstract:

In order to improve the effect of fixed dictionary on fabric texture, a method for characterizing fabric texture based on general dictionary was proposed. Firstly, the dictionary learning method was preferred. Secondly, eight kinds of arbitrary normal fabric samples and 20 samples with different weave patterns were selected respectively, and then a general dictionary, a general dictionary of four organizational structures and a general dictionary of joint organizational structure were obtained by the preferred dictionary learning method. Finally, the validity of the general dictionary was verified by experiments. The results show that the common general dictionary can adapt to the fabric texture better than the fixed dictionary. On this basis, the performance of three general dictionaries was compared. The test results show that compared with fixed dictionaries, general dictionaries can better characterize fabric texture under the same experiment conditions; and different types of general dictionaries can have better universality or specificity.

Key words: fabric texture, dictionary learning, general dictionary, fabric weave pattern

CLC Number: 

  • TS101.9

Fig.1

Process of general dictionary to represent fabric texture"

Fig.2

Learned dictionary. (a) MOD dictionary;(b) K-SVD dictionary"

Tab.1

Comparable results for two algorithms"

学习算法 编号 PSNR/dB SSIM 时间/s
K-SVD字典
学习法		 1# 44.40 0.96 566.50
2# 30.80 0.93 563.14
MOD字典
学习法		 1# 43.40 0.95 549.32
2# 30.57 0.93 538.65

Fig.3

Fabric original sample images"

Fig.4

General dictionary. (a) K-SVD general dictionary; (b) MOD general dictionary"

Tab.2

Quantitative test results for two general dictionaries"

字典 编号 PSNR/dB SSIM 时间/s
基于MOD算法
的通用字典		 1# 39.98 0.88 89.31
2# 27.71 0.71 89.12
基于K-SVD算法
的通用字典		 1# 41.53 0.92 89.36
2# 30.53 0.86 89.08

Fig.5

2# sample's reconstructed images with different sparse cardinality T values"

Fig.6

Fabric texture representation result with different sparse cardinality. (a) PSNR; (b) SSIM; (c) Time"

Fig.7

Comparative test for two kinds of general dictionaries"

Fig.8

Fabric sample images"

Tab.3

Comparative test results for different general dictionaries"

通用
字典		 PSNR/dB SSIM
2# 3# 4# 5# 2# 3# 4# 5#
组织结构 34.93 35.03 30.82 26.66 0.95 0.99 0.96 0.91
联合组
织结构		 34.94 34.53 30.40 26.48 0.95 0.98 0.95 0.91
普通 33.27 32.36 29.50 26.10 0.93 0.97 0.94 0.91
[1] 薛乐, 李立轻, 汪军. 应用频谱图的机织物纹理分析[J]. 纺织学报, 2015,36(7):55-60.
XUE Le, LI Liqing, WANG Jun. Study on woven fabric tetxure using spectrum[J]. Jounrnal of Textile Research, 2015,36(7):55-60.
[2] LI P, ZHANG H, JING J, et al. Fabric defectdetection based on multi-scale wavelet transform and Gaussian mixture model method[J]. Journal of The Textile Institute, 2014,106(6):1-6.
[3] 王钢, 周建, 汪军, 等. 采用奇异值分解的机织物疵点检测算法[J]. 纺织学报, 2014,35(7):61-66.
WANG Gang, ZHOU Jian, WANG Jun, et al. Woven fabric defect detection using singular value decomposition[J]. Journal of Textile Research, 2014,35(7):61-66.
[4] 田承泰, 步红刚, 汪军, 等. 基于时间序列分形特征的织物疵点检测[J]. 纺织学报, 2010,31(5):44-47.
TIAN Chengtai, BU Honggang, WANG Jun, et al. Fabric defect detection based on fractal feature of time series[J]. Journal of Textile Research, 2010,31(5):44-47.
[5] 朱秋平. 基于稀疏编码的织物疵点检测算法研究[D]. 武汉:武汉大学, 2014:1-5.
ZHU Qiuping Research on fabric defect detection via sparse coding[D]. ZHU Qiuping Research on fabric defect detection via sparse coding[D]. Wuhan:Wuhan University, 2014:1-5.
[6] 吴莹, 汪军, 周建. 基于离散余弦变换过完备字典的机织物纹理稀疏表征[J]. 纺织学报, 2018,39(1):157-163.
WU Ying, WANG Jun, ZHOU Jian. Sparse represent- tation of woven fabric texture based on DCT over-complete dictionary[J]. Journal of Textile Research, 2018,39(1):157-163.
[7] ELAD M. Sparse and Redundant Representations from Theory to Applications in Signal and Image Process-ing[M]. New York: Springer, 2010: 227-244.
[8] ENGAN K, AASE SO, HUSOY JH. Frame based signal compression using method of optimal direc-tions (MOD) [C]// IEEE International Symposium on Circuits and Systems. Orlando: IEEE, 1999:1-4.
[9] AHARON M, ELAD M, BRUCKSTEIN A. K-SVD: an algorithm for designing overcomplete dictionaries for sparse representation[J]. IEEE Transactions on Signal Processing, 2006,54(11):4311-4322.
doi: 10.1109/TSP.2006.881199
[10] 吴莹, 汪军. 基于K-SVD学习字典的机织物纹理表征及应用[J]. 纺织学报, 2018,39(2):165-170.
WU Ying, WANG Jun. Woven fabric texture representation and application based on K-SVD dictionary[J]. Journal of Textile Research, 2018,39(2):165-170.
[1] . Defect detection algorithm for multiple texture hierarchical fusion fabric [J]. Journal of Textile Research, 2019, 40(06): 117-124.
[2] . Woven fabric texture representation and application based on K-SVD dictionary [J]. JOURNAL OF TEXTILE RESEARCH, 2018, 39(02): 165-170.
[3] . Sparse representation of woven fabric texture based on discrete cosine transform over-complete dictionary [J]. JOURNAL OF TEXTILE RESEARCH, 2018, 39(01): 157-163.
[4] . Influence of woven fabric density on texture representation based on dictionary learning [J]. JOURNAL OF TEXTILE RESEARCH, 2017, 38(07): 142-147.
[5] . Study on woven fabric texture using frequency spectrum [J]. Journal of Textile Research, 2015, 36(07): 55-60.
[6] WANG Xiu-Chen, LI Xiao-Jiu. Fuzzy recognition of fabric texture with double conditions [J]. JOURNAL OF TEXTILE RESEARCH, 2012, 33(8): 55-58.
[7] MAO Chengdong;ZHANG Mingguang;GUO Xin. Test and analysis of the bubbling aperture of woven filter cloth [J]. JOURNAL OF TEXTILE RESEARCH, 2008, 29(5): 39-41.
Viewed
Full text


Abstract

Cited
  Shared   
  Discussed   
No Suggested Reading articles found!
京ICP备14006648号
Copyright 2021 © Editorial office of Journal of Textile Research
Supported by Beijing Magtech Co.Ltd