朱梦秋;余灵婕;王宗彪;柯真霞;周尤勇;
ZHU Meng-qiu;YU Ling-jie;WANG Zong-biao;KE Zhen-xia;ZHOU You-yong;School of Textile Science and Engineering, Xi'an Polytechnic University;Key Laboratory of Functional Textile Material and Product, Ministry of Education, Xi'an Polytechnic University;Faculty of engineering, University of Sydney;

• 1:西安工程大学纺织科学与工程学院
• 2:西安工程大学功能性纺织材料及制品教育部重点实验室
• 3:悉尼大学工程学院

摘要(Abstract)：

非织造布的厚度大于显微镜的景深会造成采集到的显微图像存在部分区域模糊的多焦面问题。结合图像的空间域和频率域特征，提出了一种基于空间域清晰度评价和频率域小波变换的多聚焦图像融合算法，旨在获得清晰的全聚焦非织造图像，并基于此融合结果测量非织造布内纤维直径分布。通过与单一的空间域、频率域以及一种基于优化的多聚焦图像融合方法比较，结果表明，所提出的多聚焦图像融合方法在人类视觉特性和客观评价方面都能获得良好的效果。
When the thickness of nonwovens is greater than the depth of field of the microscope, there will be a problem of multi-focal plane in the collected microscopic image with partial area blurring. Combining the spatial domain and spectral domain characteristics of the image, a multi-focus image fusion algorithm based on spatial domain sharpness evaluation and spectral domain wavelet transform is proposed to obtain a clear full focus nonwoven image, and based on this fusion result, the fiber diameter distribution in the nonwoven fabric is measured. Compared with a single spatial domain, spectral domain and an optimization based multi-focus image fusion method, the results show that the proposed multi-focus image fusion method can achieve good effect in human visual characteristics and objective evaluation.

关键词(KeyWords)： 非织造布;空间域;频率域;多聚焦图像融合;纤维直径
nonwovens;spatial domain;spectraldomain;multi-focus image fusion;fiber diameter

Abstract:

Keywords:

基金项目(Foundation): 国家自然科学基金青年项目(62201441);; 陕西省教育厅专项科研计划(22JK0394)

作者(Authors): 朱梦秋;余灵婕;王宗彪;柯真霞;周尤勇;
ZHU Meng-qiu;YU Ling-jie;WANG Zong-biao;KE Zhen-xia;ZHOU You-yong;School of Textile Science and Engineering, Xi'an Polytechnic University;Key Laboratory of Functional Textile Material and Product, Ministry of Education, Xi'an Polytechnic University;Faculty of engineering, University of Sydney;

DOI: 10.16090/j.cnki.hcxw.2023.01.009

参考文献(References)：

• [1]倪冰选,张鹏.非织造布孔径分布及过滤效率研究[J].产业用纺织品, 2012, 30(3):25-28.
• [2]徐进进,张振飞,金泽. SMS非织造医用防护材料的研究现状及发展趋势[J].现代纺织技术, 2021, 29(5):37-41.
• [3]陈浩,赵明良,杨靖,等.医用非织造过滤材料的发展与应用[J].国际纺织导报, 2016, 44(10):44-46.
• [4]杨艺丹,谢光银.多组分功能性保暖非织造材料的开发[J].合成纤维, 2016, 45(12):39-41.
• [5] CHEN Y, DENG N, XIN B J,et al. Structural characterization and measurement of nonwoven fabrics based on multi-focus image fusion[J].Measurement, 2019,141:356-363.
• [6]王丽,陈廷,陈霞.基于图像处理的非织造纤维直径的检测[J].测试技术学报, 2008(3):278-282.
• [7]严晓燕,吴雄英.异形截面纤维特征参数提取及图像识别技术研究进展[J].合成纤维, 2005, 34(10):11-14.
• [8]李彩兰,邓谨,王荣武.图像融合技术在非织造材料纤维取向中的应用[J].纺织学报, 2013, 34(10):26-34.
• [9] WANG R W, XUB G, LIC L. Accurate fiber orientation measurements in nonwovens using a multi-focus image fusion technique[J]. Textile Research Journal, 2014, 84(2):115-124.
• [10] GERONIMO J, HARDIN D, MASSOPUST P. Fractal functions and wavelet expansions based on several scaling functions[J]. Journal of Approximation Theory, 1994, 78(3):373-401.
• [11]陈阳,辛斌杰,邓娜.基于GHM多小波变换的非织造布多焦面图像融合[J].纺织学报, 2019, 40(6):126-133.
• [12] CHEN Y, DENG N, XIN B J, et al. Nonwovens structure measurement based on NSST multi-focus image fusion[J]. Micron, 2009, 12:102684.
• [13]张小利,李雄飞,李军.融合图像质量评价指标的相关性分析及性能评估[J].自动化学报, 2014, 40(2):306-315.
• [14]高绍姝,金伟其,王岭雪,等.图像融合质量客观评价方法[J].应用光学, 2011, 32(4):671-677.
• [15] MA B Y, ZHU Y, YIN X, et al. Sesf-fuse:an unsupervised deep model for multi-focus image fusion[J]. Neural Computing and Applications,2020, 33(11):1-12.
• [16]朱新山,姚思如,孙彪,等.图像质量评价:融合视觉特性与结构相似性指标[J].哈尔滨工业大学学报, 2018, 50(5):121-128.
• [17] XU S, JI L, WANG Z, et al. Towards reducing severe defocus spread effects for multi-focus image fusion via an optimization based strategy[J].IEEE Transactions on Computational Imaging,2020(6):1561-1570.
• [18]李彩兰.基于图像融合技术的非织造材料纤维取向分析[D].上海:东华大学, 2013.