基于通用字典的局部机织物纹理稳定表征

doi:10.13475/j.fzxb.20181100806

纺织学报 ›› 2019, Vol. 40 ›› Issue (11): 45-49.doi: 10.13475/j.fzxb.20181100806

基于通用字典的局部机织物纹理稳定表征

吴莹¹^,²(), 占竹³, 汪军³^,⁴

1.浙江理工大学服装学院, 浙江杭州 310018
2.浙江理工大学服装数字化技术浙江省工程实验室, 浙江杭州 310018
3.东华大学纺织学院, 上海 201620
4.东华大学纺织面料技术教育部重点实验室, 上海 201620

收稿日期:2018-11-02 修回日期:2019-03-07 出版日期:2019-11-15 发布日期:2019-11-26
作者简介:吴莹(1988—),女,讲师,博士。主要研究方向为机织物纹理表征分类及其应用。E-mail: ying012688@zstu.edu.cn。
基金资助:
国家自然科学基金项目(61379011);浙江理工大学科研启动基金项目(18072247-Y)

Local fabric texture stability characterization using general dictionary

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

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

摘要/Abstract

摘要：

为改善固定字典表征织物纹理的效果,提出基于通用字典表征织物纹理的方法。首先,对字典学习法进行优选,分别选取8种任意正常织物样本和20种不同组织结构样本,采用优选后的字典学习法得到了1种普通通用字典、4种组织结构通用字典和1种联合组织结构通用字典。最后对通用字典的有效性进行试验验证,发现普通通用字典较固定字典能更好地适应织物纹理;在此基础上,比较了3种通用字典的性能。结果表明:在同等试验条件下,与固定字典相比,通用字典能更好地表征织物纹理;不同类型的通用字典可具有较好的通用或专用性。

关键词: 织物纹理, 字典学习, 通用字典, 织物组织结构

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

中图分类号:

TS101.9

吴莹, 占竹, 汪军. 基于通用字典的局部机织物纹理稳定表征[J]. 纺织学报, 2019, 40(11): 45-49.

WU Ying, ZHAN Zhu, WANG Jun. Local fabric texture stability characterization using general dictionary[J]. Journal of Textile Research, 2019, 40(11): 45-49.

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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
K-SVD字典学习法	2^#	30.80	0.93	563.14
MOD字典学习法	1^#	43.40	0.95	549.32
MOD字典学习法	2^#	30.57	0.93	538.65

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
基于MOD算法的通用字典	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
基于K-SVD算法的通用字典	2^#	30.53	0.86	89.08

通用字典	PSNR/dB				SSIM
通用字典	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

基于通用字典的局部机织物纹理稳定表征

Local fabric texture stability characterization using general dictionary

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