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  • Engineering  (4)
  • ZS 0001  (4)
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  • Engineering  (4)
RVK
  • ZS 0001  (4)
  • 1
    Online Resource
    Online Resource
    Research on texture image inpainting of jacquard fabric based on non-single vision
    SAGE Publications ; 2020
    In:  Textile Research Journal Vol. 90, No. 13-14 ( 2020-07), p. 1462-1476
    Details
    In: Textile Research Journal, SAGE Publications, Vol. 90, No. 13-14 ( 2020-07), p. 1462-1476
    Abstract: For the texture image inpainting of jacquard fabric with a large damaged region but complete data information around it, traditional exemplar-based image inpainting algorithms are not only have rapid falling traditional confidence value, but also the matching precision is greatly limited due to the lack of robustness, which results in a wrong guided direction and an unsatisfactory inpainting effect. To solve the above-mentioned problems, a novel digital image acquisition system for damaged fabric was designed and one set of texture image inpainting algorithms of jacquard fabric based on non-single vision was developed. In this image inpainting method, the images to be inpainted and target images were obtained through the non-single-vision imaging method. By using the image registration and Poisson image blending technology, the damaged region was filled by block matching first and then patches from the target image to the data missing region were copied. The experimental results clearly showed that the proposed method achieves better results in visual appearance and inpainting quality, compared with traditional approaches for inpainting. In addition, this method shows broad potential application prospects in the virtual restoration of ancient fabrics using image inpainting technology.
    Type of Medium: Online Resource
    ISSN: 0040-5175 , 1746-7748
    URL: Article
    DOI: 10.1177/0040517519892924
    RVK:
    ZS 0001
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2020
    detail.hit.zdb_id: 2209596-2
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    Online Resource
  • 2
    Online Resource
    Online Resource
    Preparation, structure and electrochromic behavior of PANI/PVA composite electrospun nanofiber
    SAGE Publications ; 2019
    In:  Textile Research Journal Vol. 89, No. 12 ( 2019-06), p. 2490-2499
    Details
    In: Textile Research Journal, SAGE Publications, Vol. 89, No. 12 ( 2019-06), p. 2490-2499
    Abstract: In this study, the preparation of polyaniline/polyvinyl alcohol (PANI/PVA) emulsion and the fabrication of PANI/PVA nanocomposite and electrochromic device are presented systematically. The surface morphologies, chemical structural and mechanical properties of the PANI/PVA nanofibers were characterized using scanning electron microscopy (SEM), Fourier transform infrared spectroscopy (FTIR) and instrumental equipment. Four PANI/PVA composites with different PANI concentrations (i.e. 0 wt%, 0.2 wt%, 0.4 wt%, 0.6 wt%) were prepared to investigate the effects of PANI content on the electrochemical properties of the composites. Electrochromic properties of these PANI/PVA electrospun composite nanofibers are systematically characterized by an electrochemical workstation. Cyclic voltammetry was conducted to measure the electrochemical behavior of the PANI/PVA electrospun composite nanofibers at scanning speeds of 5 mV/s, 20 mV/s, 50 mV/s and 100 mV/s; it could be found that the redox peaks almost disappear. The discoloration of PANI/PVA composite electrospun nanofiber presents the color changing among the three mainstream colors of green, yellow, and blue.
    Type of Medium: Online Resource
    ISSN: 0040-5175 , 1746-7748
    URL: Article
    DOI: 10.1177/0040517518797345
    RVK:
    ZS 0001
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2019
    detail.hit.zdb_id: 2209596-2
    Location Call Number Limitation Availability
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    Online Resource
  • 3
    Online Resource
    Online Resource
    Surface functionalization of Ag/polypyrrole-coated cotton fabric by in situ polymerization and magnetron sputtering
    SAGE Publications ; 2019
    In:  Textile Research Journal Vol. 89, No. 23-24 ( 2019-12), p. 4884-4895
    Details
    In: Textile Research Journal, SAGE Publications, Vol. 89, No. 23-24 ( 2019-12), p. 4884-4895
    Abstract: Flexible electronic devices have attracted considerable attention in recent years, and textile fabrics are usually used as the substrates because of their good moisture absorption performance and high flexibility. However, ordinary textile fabrics are electrically insulating, which limits their strain sensing sensitivity. In this study, cotton fabric endowed with high electrical conductivity was prepared by a two-step process of in situ polymerization and direct current (DC) magnetron sputtering. It was firstly modified with a continuous polypyrrole (PPy) thin film by using the in situ polymerization method and then coated with silver (Ag) thin film by using a DC magnetron sputtering system. The experimental results revealed that the resultant Ag/PPy-coated cotton deposited with a sputtering power of 200 W for 25 min has the highest electrical conductivity and its average sheet resistance is 11.7 Ω/sq. Moreover, the Ag/PPy-coated cotton exhibited the advantages of high hydrophobicity, thermal stability, electromechanical performance and washing fastness. Overall, the effective flexibility and high electrical conductivity of the Ag/PPy-coated cotton have been validated effectively and make it one of the promising candidates for preparing electromagnetic shielding and antistatic and smart wearable textile products, especially flexible electronic devices.
    Type of Medium: Online Resource
    ISSN: 0040-5175 , 1746-7748
    URL: Article
    DOI: 10.1177/0040517519842801
    RVK:
    ZS 0001
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2019
    detail.hit.zdb_id: 2209596-2
    Location Call Number Limitation Availability
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    Online Resource
  • 4
    Online Resource
    Online Resource
    A novel hyperspectral imaging and modeling method for the component identification of woven fabrics
    SAGE Publications ; 2019
    In:  Textile Research Journal Vol. 89, No. 18 ( 2019-09), p. 3752-3767
    Details
    In: Textile Research Journal, SAGE Publications, Vol. 89, No. 18 ( 2019-09), p. 3752-3767
    Abstract: The component identification of textile materials is critical for quality control and measurement in the textile field. A novel hyperspectral imaging method and the related identification model are proposed to classify single-component textiles. Firstly, the hyperspectral data of the single-component fabrics were processed to conduct dimensionality reduction based on locally linear embedding (LLE), principal component analysis (PCA), and locally preserving projection (LPP) algorithms. Moreover, the original data of 288 wavelengths from 920 nm to 2500 nm were compressed to keep the typical wavelength regions. After that, these data were imported into two classifiers (decision tree classifier and K nearest neighbor (KNN) classifier) for training, and an identification model based on these training data was developed for the sample classification. The experimental results showed that all the samples could be identified correctly by the established identification model. The recognition rate and the stability of the classifier based on LPP model and KNN classification algorithm were proved to have the highest accuracy in our research.
    Type of Medium: Online Resource
    ISSN: 0040-5175 , 1746-7748
    URL: Article
    DOI: 10.1177/0040517518821907
    RVK:
    ZS 0001
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2019
    detail.hit.zdb_id: 2209596-2
    Location Call Number Limitation Availability
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    Online Resource
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