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1.
A pilled nonwoven fabric image consists of brightness variations caused by high frequency noise, randomly distributed fibers, fuzz and pills, fabric surface unevenness, and background illumination variance. They have different frequency and space distributions and thus can be separated by the two-dimensional dual-tree complex wavelet transform reconstructed detail and approximation images. The energies of the six direction detail sub-images, which capture brightness variation caused by fuzz and pills of different sizes, quantitatively characterize the pilling volume distribution at different directions and scales. They are used as pilling features and inputs of neural network supervised classifier. The initial results based on a nonwoven wool fabric standard pilling test image set, the Woolmark®, SM 50 Blanket set, suggest that this objective pilling evaluation method developed by the combination of pilling identification, characterization method and neural network supervised classifier is feasible. 相似文献
2.
The method of recognizing color texture brought forth in the present study is to employ unsupervised learning network to automatically
recognize the fabric type and the main texture types. Firstly, the color scanner is adopted to extract fabric image which
is afterwards saved as the digital image. Secondly,CIE-Lab color model is taken to obtain the feature value and wavelet transform is utilized to display the texture of the fabric image.
Thirdly, co-occurrence matrix is employed to figure out the feature values of the texture structure such as angular second
moment, entropy, homogeneity, contrast. Finally, self-organizing map (SOM) network is used as the classifier. The experiment
result shows that the study can automatically and accurately classify the fabric types (including shuttle-woven fabric, jersey
fabric and non-woven fabric) and main texture type of the fabric (such as plain weave, twill weave, satin weave, single jersey,
double jersey and non-woven fabric). 相似文献
3.
An objective evaluation method for woven fabric pilling has been developed using image processing and statistical analysis. Five ASTM photographic standard images were analyzed to determine a characterization method for fabric pilling. Images were filtered by various image analysis techniques such as fast Fourier transformation (FFT) and fast wavelet transformation (FWT). Three parameters including the number of pills, the total pixel area of pilling, and the sum of the gray values of pill images have been defined and extracted automatically from the images. Finally, the relationship between pilling grade and those parameters has been established by a series of statistical analyses. 相似文献
4.
A study has been made on the quantification and evaluation of fabric pilling using two-dimensional and three-dimensional hybrid
imaging methods. Two-dimensional imaging method was good for some samples while three-dimensional measurement method for others,
according to the properties of their base fabric. Various image processing techniques as well as three-dimensional data processing
algorithms were applied for the extraction of pills from measured data and a series of shape parameters have been defined
for the objective evaluation of fabric pilling. An evaluation criterion that is compatible with the conventional evaluation
method has been proposed by applying the new evaluation method to the current photographic standards. 相似文献
5.
This paper assesses the color difference and color strength values (K/S) obtained for eight disperse-dyed polyester fabric samples with different fabric construction parameters (weft yarn type,
weft yarn count, weft density and fabric weave) after four sets of abrasion cycles. Warp yarn type and count, warp density,
and warp yarn twist are the same for all fabrics. Fabric samples are dyed in a commercial red disperse dye (C.I. Disperse
Red 74:1) and four different abrasion cycles (2500, 5000, 7500, 10000) are used. TheK/S values of the abraided fabrics and color difference values between the control fabric (dyed but not abraided) and abraded
fabrics are calculated. The main differences in theK/S and color difference values are observed between 0–2500 abrasion cycles. The high tenacity of the polyester fibers and continuous
polyester yarns causes some fuzz but no pilling formation on the fabric surface that lead to increasedK/S values and color differences. Fiber dullness, yarn thickness, yarn density and fabric weave are concluded to have different
effects on the appearance after abrasion. 相似文献
6.
The fuzzing and pilling of untreated, chlorinated and oxidized wool knitted fabrics were compared with frictional coefficients
measured by capstan method, surface modification observed by scanning electron microscopy (SEM), the surface roughness and
the scale height assessed by atomic force microscopy (AFM), and hairiness imaged on the three-dimensional rotational microscopy.
The pilling comparative experiments of the corresponding knitted fabrics were conducted by means of Pillbox method. Experimental
results showed that some scales on the oxidized fiber surface were partially cleaved and some grooves generated. With oxidization
treatment, the anti- and with-scale of friction coefficient increase with decreasing the thickness of scales and the yarn
hairiness. There is good correlation between the result of AFM and the change in frictional coefficients. The pilling grade
of knitted fabric comprised of oxidization wool is 2.5, and the average numbers of pills per 25 cm2 is 25. It is postulated that the surface topography, the frictional properties of oxidized wool fibers and surface hairs
of corresponding yarns may limit the ability of those surface fibers to form fuzz and of those fuzz for pill formation. 相似文献
7.
An objective pilling evaluation method has been developed using image analysis and artificial neural network. Pilling parameters obtained in the previous study were used as the input values for neural network. A total of 9 data sets including 5 standard grades and 4 interpolated intermediate grades were used for training the network. Nine samples were prepared to verify the validity of the trained network in comparison with the subjective evaluation results. 18 woven and 12 knitted samples were tested to investigate the effect of the fabric structure on the performance of the network. Finally, 55 woven fabric samples were tested to evaluate the performance of the newly developed method and it was proven to be suitable for the evaluation of pilling grade especially for woven fabrics. 相似文献
8.
The potential of an imaging spectroscopy system with high spatial (0·16–1·45 mm2) and spectral resolution (5–13 nm) was explored for monitoring light interception and biomass of grass swards. Thirty‐six Lolium perenne L. mini‐swards were studied for a total of eleven consecutive growth periods. Hyperspectral images and light interception (LI) were recorded twice weekly. On two dates ground cover was scored visually (GCv). At harvest, leaf area index (LAI), fresh‐matter yield and dry‐matter yield (DMY) were determined. Classification of images yielded several estimates of the image ground cover (GCi) and the index of reflection intensity (IRI). The GCi was highly correlated with GCv ( = 0·94), LAI ( = 0·88) and LI ( = 0·95, for dense swards under cloudy skies). However, the relationship between GCi and LI depended on sky conditions and sward structure. Under cloudy skies, LI was linearly related to GCi, whereas under clear skies, this relation was logistic. Regression analysis of GCi and yields showed correlations with of between 0·75 and 0·82. The mean error of DMY estimates was 340 kg. In conclusion, estimates of GCi and IRI can be used to predict DMY, even for high yield levels (up to 3500 kg DM ha?1), allowing accurate, non‐destructive monitoring of biomass and light interception of grass swards. 相似文献
9.
Fuzz on the fabrics, which is the fibers protruded from the fabric surface, is very important in view of appearance quality,
since it causes unpleasant appearance on the fabrics and also leads to pilling which makes fabric appearance and softness
worse. However, fuzz on fabric surface is measured mostly by subjective methods (human vision) rather than objective methods.
Thus, in this study, objective method using image analysis techniques has been developed for the measurement of fuzz on fabric
surface. Fuzz on the fabric has also been ranked and rated by experts in order to see the reliability of the results obtained
from the fuzz measurement. It was observed that correlation coefficient (r) between rating value and objective measurement
value was 0.9 and this correlation coefficient value confirmed the reliability of this method. 相似文献
10.
The effect of cashmere yarn twist, knitted fabric density, and cashmere properties on pilling rates of cashmere knitted fabric
is investigated in this paper. The experimental results show that yarn twist and fabric density have little influence on pilling
rates of cashmere knitted fabric for yarn 38.4 tex/2 when yarn twist varies from 234 T/m to 272 T/m, and the fabric density
is 9.7, 10.7, and 11.2 yarns/inch, respectively. The length of cashmere fiber, in particular less than 7.5 mm, is responsible
for the pilling rates of cashmere knitted fabric based on optimal scaling regression analysis. 相似文献
11.
Polypropylene (PP) fibers with a sorbital derivative nucleating agent (SDN) and rare earth aluminates (SrAl2O4:Eu2+,Dy3+) were prepared via melt compounding and melt-spinning. Non-isothermal crystallization kinetics and luminescence properties of PP and luminous PP fibers were studied by differential scanning calorimetry (DSC), polarized optical microscopy (POM), and decay of the afterglow test. The crystallization temperature determined by DSC increased with the addition of the nucleating agent during the cooling process from 200 °C. The Jeziorny model successfully described the non-isothermal crystallization behavior of the luminous PP with various SDN contents. The crystal grain size and morphology of the sample with the SDN was different from that without nucleating agent. The luminous PP fabric having high initial brightness intensity, approximately 461 mcd g-1m-2, can be prepared with addition of 10 wt% of rare earth aluminates and 0.5 % of SDN. 相似文献
12.
In this study, the dimensional and some physical properties of plain knitted fabrics made from 50/50 bamboo/cotton blended
yarns are investigated. In order to see the differences and similarities, the results are then compared with those for similar
fabrics knitted from 50/50 conventional viscose/cotton and 50/50 modal/cotton blended yarns. Each fabric type was produced
with three different stitch lengths. After all fabrics were dyed under identical dyeing conditions, they were subjected to
dry and full relaxation treatments. For dimensional properties of fabrics, course, wale and stitch densities were measured.
Then, by calculating statistically best-fit lines passing both through the experimental points and the origin, dimensional
constants i.e. k values were predicted in terms of the fiber types. The result show that each fabric type knitted from bamboo/cotton, viscose/cotton
and modal/cotton blended yarns behaves in a similar manner. However, in both dry and fully relaxed states, the modal/cotton
knitted fabrics tend to have slightly higher k values than the bamboo/cotton and viscose/cotton knitted fabrics. For physical properties, fabric weight per unit area, thickness,
bursting strength, air permeability and pilling were evaluated. The results show that the weight, thickness and air permeability
values are independent of the fiber type. Plain knitted fabrics from modal/cotton blended yarns have the highest bursting
strength values. Plain knitted fabrics from bamboo/cotton blended yarns tend to pill less. 相似文献
13.
Jaewoong Lee Royall M. Broughton Akin Akdag S. D. Worley Tung S. Huang 《Fibers and Polymers》2007,8(2):148-154
N-halamines serve as important antimicrobial agents. Development of this class of compounds has been shown to provide benefits
especially from a biocidal point of view. A novels-triazine-basedN-heterocycle, dichloro-m-aminophenyl-hydantoinyl-s-triazine (DAPHT), which could be rendered antimicrobial through exposure to diluted chlorine bleach, was synthesized and
characterized by1H NMR,13C NMR, and FT-IR. A finishing method was used to apply theN-halamine precursor onto cotton fabric, and the optimum conditions for finishing were investigated. The DAPHT-treated cotton
fabric had durable antimicrobial properties up to 50 standard washing cycles and was rechargeable under normal laundry/bleaching
conditions. The antimicrobial efficacy against Gram-positive and Gram-negative bacteria was demonstrated. 相似文献
14.
为探究大范围小麦秸秆覆盖度(CRC)估测方法，以冬小麦秸秆为研究对象，基于Sentinel-2遥感卫星影像光谱指数、波段和纹理特征及其不同特征组合，利用灰色关联-随机森林(GRA-RF)敏感特征提取方法，结合高斯过程(GPR)、套索(LASSO)、岭回归(RR)和偏最小二乘(PLSR)等多种机器学习算法，开展小麦CRC估算的最优模型研究。结果表明，基于GRA-RF特征优选后的机器学习模型显著改善了小麦CRC的估算精度，LASSO算法总体对小麦CRC的估测效果最佳，并且针对不同的光谱特征组合表现出差异化的结果。其中，以光谱指数、波段和纹理信息构成的组合特征集构建的CRC遥感估算模型精度最优(r2=0.65,RMSE=9.25%),以波段与纹理两者组合特征估算的CRC精度次之(r2=0.63,RMSE=9.31%),仅利用单一的光谱指数、波段或者纹理特征估算冬小麦CRC的精度均劣于组合特征的结果。这说明应用GRA-RF组合筛选方法能够有效优选秸秆覆盖度的光谱特征；相比于单一特征，光谱指数、波段、纹理信息等构成的组合特征更能有效地监测小麦秸秆覆盖度... 相似文献
15.
Jiangtao Hu Qianhong Gao Lu Xu Minglei Wang Maojiang Zhang Kuo Zhang Xiaojing Guo Weihua Liu Guozhong Wu 《Fibers and Polymers》2018,19(7):1522-1531
Herein we report a simple and reproducible method for fabricating highly durable and robust superhydrophobic and superoleophilic cotton fabrics via simultaneous radiation-induced graft polymerization of glycidyl methacrylate and subsequent chemical modifications with aminopropyltriethoxysilane and hexamethyldisilazane. The chemical structure and the surface topography of the pristine and the modified cotton fabrics were investigated in detail by ATR-FTIR, XPS, and 29Si NMR, and a grafting layer was successfully immobilized onto the surface of the cotton fabric by forming covalent bonds. Multi-dimensional surface roughness was created by combining micro-sized fibers of the cotton fabric, nanoscaled protuberances of the grafting chain, and molecular level spherical projection points of silicon methyl. The superhydrophobic cotton fabric exhibited long-term stability, ultra-high durability and robustness, and maintained its properties even after 25 wash cycles. The fabric also showed excellent water repellency with a water contact angle of 153 ° and a high efficiency of oil/water separation (98 %). The superhydrophobic/superoleophilic cotton fabric developed in the present work exhibits important potential applications in superhydrophobic textiles and oil/water separation. 相似文献
16.
Due to the woven structure textile materials have excellent formability properties but their behaviour is difficult to investigate. Digital image analysis as non-disturbing and low cost method for the textile investigations has paid a lot of attention, still this method has some limits. The aim of the research is to analyse the accuracy and reliability of the method based on digital image analysis for the textile local deformations investigation and to determine the measurement errors. Depending on the results of experiments when input image acquisition parameters (capture distance d i and lighting angle γ j ) were changed the image analysis system was composed. To estimate the measurement errors of the method the scanned image was used as reference sample and parameters of each grid point A 0, h 0 ir b 0 were compared calculating the measurement error depending on image resolution δ Ai and illumination conditions δ h60, δ w60, δ A60. Image quality evaluation while investigating different material types has shown that image analysis method can be applied for the fabrics the colour intensity of which differs, however it is necessary to ensure sufficient contrast of input image and to apply additional image processing operations. 相似文献
17.
为明确土壤中禾谷孢囊线虫(Heterodera avenae)初始密度(Pi)与小麦生长和产量的关系,在2011-2013年的两个冬小麦生育周期里,通过网室盆栽试验,分析了土壤禾谷孢囊线虫初始密度对其繁殖及小麦生长和产量的影响。结果表明,禾谷孢囊线虫的繁殖系数(Rf)随Pi的增加而减少,当Pi为0.5个卵·mL-1土时,Rf达到8.7;当Pi为64个卵·mL-1土时,Rf仅为2.8。小麦株高、茎叶干重、根干重及产量均与Pi呈显著负相关。当Pi≥8个卵·mL-1土时,小麦植株生长受到抑制,产量显著下降,因此田间禾谷孢囊线虫的初始密度高于该值时,应当采取有效措施进行防治。 相似文献
18.
利用无人机图像颜色与纹理特征数据在小麦生育前期对产量进行预测 总被引：1，自引：0，他引：1
为了实现基于无人机的小麦产量快速预测,通过不同种植密度、氮肥和品种的田间试验,应用无人机航拍获取小麦生育前期（越冬前期和拔节期）的RGB图像,通过图像处理获取小麦田间颜色和纹理特征指数,并在小麦收获后测定实际产量。通过分析不同颜色和纹理特征指数与小麦产量的关系,筛选出适合小麦产量预测的颜色和纹理特征指数,建立小麦产量预测模型并进行验证。结果表明,小麦生育前期图像颜色指数与产量的相关性较好,而纹理特征指数相关性较差。对越冬前期利用单一颜色指数NDI构建的产量预测模型验证时,R为0.541,RMSE为671.26 kg·hm-2;对拔节期用单一颜色指数VARI构建的产量预测模型验证时,R为0.603,RMSE为639.78 kg·hm-2,预测结果比较理想,但不是最优。对越冬前期颜色指数NDI和纹理特征指数ENT相结合构建的产量预测模型验证时,R和RMSE分别为0.629和611.82 kg·hm-2,比单一颜色指数模型分别提升16.27%和减小8.85%;对拔节期颜色指数VARI和纹理特征指数COR相结合构建的产量预测模型验证时,R和RMSE分别为0.746和510.29 kg·hm-2,较单一颜色指数模型分别提升23.71%和减小20.24%。上述结果说明,将无人机图像颜色和纹理特征指数相结合建立的估产模型精度较高,可在小麦生育前期对产量进行有效预测。 相似文献
19.
Shu YAO Tao CHEN Ya-dong ZHANG Zhen ZHU Ling ZHAO Qing-yong ZHAO Li-hui ZHOU Cai-lin WANG 《水稻科学》2011,18(2):102-109
A high-yielding japonica rice variety, Wuyunjing 7, bred in Jiangsu Province, China as a female parent was crossed with a Japanese rice variety Kantou 194, which carries a rice stripe disease resistance gene Stv-bi and a translucent endosperm mutant gene Wx-mq. From F2 generations, a sequence characterized amplified region (SCAR) marker tightly linked with Stv-bi and a cleaved amplified polymorphic sequence (CAPS) marker for Wx-mq were used for marker-assisted selection. Finally, a new japonica rice line, Ning 9108, with excellent agronomic traits was obtained by multi-generational selection on stripe disease resistance and endosperm appearance. The utilization of the markers from genes related to rice quality and disease resistance was helpful not only for establishing a marker-assisted selection system of high-quality and disease resistance for rice but also for providing important intermediate materials and rapid selection method for good quality, disease resistance and high yield in rice breeding. 相似文献
20.
A novel nano-silver colloidal solution was prepared in one step by mixing AgNO3 aqueous solution and an amino-terminated hyperbranched polymer (HBP-NH2) aqueous solution under vigorous stirring at room temperature. All results of Dynamic Light Scattering (DLS), Transmission
Electron Microscopy (TEM) and UV/Visible Absorption Spectrophotometry indicated that silver nanoparticles had been formed
in colloidal solution. Cotton fabric was treated with nano-silver colloid by an impregnation method to provide the cotton
fabric with antibacterial properties. The whiteness, silver content, antibacterial activity and washing durability of the
silver-treated fabrics were determined. The results indicated that the silver-treated cotton fabric showed 99.01 % bacterial
reduction of Staphylococcus aureus and 99.26 % bacterial reduction of Escherichia coli while the silver content on cotton was about 88 mg/kg. The antimicrobial activity of the silver-treated cotton fabric was
maintained at over 98.77 % reduction level even after being exposed to 20 consecutive home laundering conditions. In addition,
the results of scanning electron microscopy (SEM) and X-ray photoelectron spectroscopy (XPS) confirmed that silver nanoparticles
have been fixed and well dispersed on cotton fabrics’ surface and the major state of the silver presented on the surface was
Ag0. 相似文献