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1.
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   

2.
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   

3.
Previously, we proposed a new method to identify fabric pilling and objectively measure fabric pilling intensity based on the two-dimensional dual-tree complex wavelet reconstruction and neural network classification. Here we further evaluate the robustness of the method. Our results indicate that the pilling identification method is robust to significant variation in the brightness and contrast of the image, rotation of the image, and 2 i (i is an integer) times dilation of the image. The pilling feature vector developed to characterize the pilling intensity is robust to brightness change but is sensitive to large rotations of the image. As long as all fabric images are adjusted to have the same contrast level and the sample is illuminated from the same direction, the pilling feature vectors are comparable and can be used to classify the pilling intensity.  相似文献   

4.
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   

5.
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   

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.
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   

8.
An integrated hardware and software system has been developed that can automate the analysis process of various woven fabric structures. Although the analysis of woven structure is one of the most important steps in the fabric design and quality control process, it has been dependent only on human skills with primitive devices. In this study, a dedicated hardware system has been developed to obtain an ultra-high resolution fabric images. Then a series of image analysis technique was applied to locate the intersecting regions of warps and wefts on those images. Finally, an artificial neural network was formed to determine the woven structure of fabric based on the two shape parameters extracted from those regions.  相似文献   

9.
10.
Digital intelligent recognition for the weave pattern of fabric plays an important role to improve automation and artificial intelligence in textile production process. In order to improve the data processing efficiency and minimize the negative influence such as human error in the conventional methods, a rapid, automatic and accurate method for the surface structure analysis and the fabric weave pattern recognition is proposed. First of all, an imaging system was designed to obtain the double-faced images of fabric samples, and then the captured images were treated by projection algorithm in both warp and weft directions to generate a grid net which splits the image into massive nodes. In the following step, the nodes were preliminary classified based on the intensity of the node’s quadrilateral boundary and at the same time, the color of the nodes was calculated by using the color clustering method. To improve the accuracy of node classification, the types and color information of the adjacent nodes, together with double-faced image information, were utilized for error correction. At last, the node information acquired was encoded and expressed digitally by a basic matrix, two one-dimension matrices (row and column) and a color mapping table. Following the procedure above, the digital model of the weave pattern of the sample fabric is established. Experiments have been conducted and show the performance of the proposed method.  相似文献   

11.
The physical and mechanical characteristics of hollow polyester fibres were compared with solid polyester fibres in order to establish their processing behaviour and performance characteristics. The effects of hollow fibres on fabric properties were investigated by using microscopy and tests of tensile and bursting strength, pilling, abrasion resistance, water vapour permeability, and handle. The results show that tensile strength of hollow polyester fibres and yarns are negatively affected by the cavity inside the fibre. Hollow fibres also have higher stiffness and resistance to bending at relaxed state. Fabrics made from hollow polyester/wool blends and pure wool fabrics show three distinguishable steps in pilling. During pilling, hollow fibres break before being pulled fully out of the structure, leading to shorter protruding fibres. Microscopy studies showed that the breakdown of hollow fibres started during entanglement by splitting along the helical lines between fibrils. KES results showed that the friction between fibres and the fibre shape are the most important parameters that determine the fabric low stress mechanical properties. However, in some aspects, the hollow structure of the fibre does not have a significant effect.  相似文献   

12.
In this work knitted wool fabrics were coated by a Si:Ox:Cy:Hz thin film with the aim to promote pilling resistance. The wool samples were plasma coated in a radio frequency (RF) glow discharge using hexamethyldisiloxane (HMDSO) as the precursor, in mixture with argon and oxygen gases, for different deposition times and reaction pressures, at constant discharge power. Deposited films were characterized by means of Fourier transform infrared (FTIR) spectroscopy and surface morphology by means of scanning electron microscopy; moreover, propensity to pilling of treated samples was investigated, showing that treated fabrics had a better pilling performance respect to untreated ones.  相似文献   

13.
Yunchu Yang 《Fibers and Polymers》2014,15(10):2217-2224
The aim of this study was to investigate the drape properties of seamed woven fabric using experimental and virtual approaches. Firstly, the influence of different seams on the fabric drape parameters was analyzed based on bending and draping experiments. Then, a preliminary drape simulation method for seamed fabric was presented using shell finite elements. The models with seams were simplified and separated into shell fabric partitions and seam partitions. The projection images of all models were extracted for calculating the drape coefficient and average radius. Through contrasting of drape profiles and correlate analysis of drape parameters, it shows that the drape properties between simulating and testing are very similar and correlated. Furthermore, their regression formulas of drape coefficient and average radius were given by regression analysis. The work has some helps for further study on evaluating and simulating the garment aesthetic performance in considering of seam’s mechanical properties.  相似文献   

14.
Enzyme treatment technologies in textile processing have become commonly-applied techniques for the modification of fabric-handle appearance, and other surface and mechanical characteristics of fabrics. Most studies have focused on understanding the impact of enzyme treatments on the fabric preparation, dyeing, and finishing processes of woven fabrics, whilst only limited research has been reported regarding any enzymatic effects on the surface and handproperties of knitted fabrics. The aim of this study was to analyze the effects of two different enzymes Trichoderma reesei whole cellulase, and enriched (EGIII) endoglucanase cellulase, at three different enzyme dosages on 100 % cotton interlock knitted fabric. This was in order to evaluate certain surface properties such as pilling, friction. and geometrical roughness. Furthermore, the compression and tactile properties of knitted fabric were also analyzed. The results show that treatment conditions with enzyme Trichoderma reesei whole cellulase had the more pronounced effect on the surface properties compared to the enriched EGIII enzymes. In general, it can be concluded that both types of enzymes improved the surface properties and hand when compared with the silicone softener-treated reference sample of interlock knitted fabric, as is statistically confirmed by one-way analysis of variance.  相似文献   

15.
In this study, the effects of corona plasma process on the dyeability and certain physical properties of woolen fabric were investigated. For this purpose, acid and 1.2 metal complex dyes, which are the most applicable dyes in the wool market were used. The patterns were examined to assess their dyeability, wettability, pilling resistance, alkali solubility, and strength values. The surface morphology and chemical structures were tested by X-ray photoelectron spectroscopy and alkali solubility analyses and also scanned by electron microscopy. Hydrophility indexes of the dyes that were used were determined. With the results of the experiments, their hydrophobic index is of vital importance, which is a factor for plasma efficiency on color depth. By using plasma treatment on woolen fabric, it is achievable to get a product with high hydrophility and pilling resistance values, dyeability, and less burdened dyeing bath.  相似文献   

16.
In traditional method, the woven fabric pattern can not be easily recognized because of the error judgments of float type. To solve this problem, a novel method based on the pattern database was proposed to detect the woven fabric pattern in this study. FCM algorithm was used to classify the floats in the fabric image into two categories, warp floats and weft floats. The classification result then was then compared with the standard patterns in the pattern database, and the similar coefficients between them were calculated. The pattern which has the largest similar coefficient with the classification result was considered as the correct woven pattern, and its diagram and name were output in the system. The test for actual fabric images indicated that the method proposed can recognize the fabric patterns effectively, and the diagram and name of the fabric pattern can be recognized simultaneously. The experiments can also prove that the algorithm which is based on pattern database has good fault tolerant ability, and it can recognize the fabric patterns with a range of error judgments.  相似文献   

17.
A software system has been developed that designs garments made of figured fabrics and arranges the flat patterns on the fabric automatically. A series of image analysis techniques were used to find the repeat unit images of figured fabrics. Three-dimensional garment drape simulation was used to design garments using those repeat unit images as texture maps. Finally, a pattern nesting system was developed to arrange numerous flat garment patterns quickly keeping the continuity of the figures on them. This method could contribute to the increase of the reliability as well as the reduction of production cost by eliminating the unnecessary trial-and-error based processes.  相似文献   

18.
This study develops a method to evaluate the contact coolness of fabric using the infrared thermal image of a small test specimen. By using infrared thermal images of 7 types of fabrics developed as cool fabric, the average temperature difference on the surface of the human palm and a heating plate, with and without fabric was measured and this was used for the scale of the ability of the fabric to cool by touch. By comparing the average temperature differences with the Qmax of a fabric, absorption coolness, subjective contact coolness, and correlations were investigated. More heat is transmitted via fabric when the Qmax value is higher and average temperature difference of thermogram image is smaller, which means the coolness perceived by the skin becomes stronger. Fabric with a small average temperature difference in infrared thermal imaging had a high Qmax value and it was evaluated as having strong coolness in subjective evaluation too. However, it was found that there was no relationship between average temperature differences and absorption coolness. Therefore, it can be concluded that the evaluation of fabrics’ coolness using infrared thermal image is useful when evaluating contact coolness at the point of physical contact. In addition, by comparing the methods using the palm and heating plate, the method using the palm showed higher correlation with Qmax (-.828, p<0.05). Therefore, we confirmed that evaluating the coolness of small test specimens using an infrared thermal camera and the palm is effective.  相似文献   

19.
Enzymes are being extensively used in industry as they are environmentally friendly. They show a variety of advantages over chemicals, like their specificity, high efficiency and eco-friendliness. Nowadays different kinds of cellulase enzyme mixtures are commercially formulated for the finishing of cellulosic fabrics. This study investigated the effect of acid cellulase treatment on bamboo knitted-fabric to reduce pill. It has been observed that specific range of concentration only can effectively reduce pills with substantial weight loss. The common process and method followed by a textile chemist to optimize or standardize the concentration of enzyme treatment to reduce pill is still cumbersome and doubtful. A quicker and objective method is proposed to optimize the concentration of enzyme. The effectiveness is evaluated using standard Martindale tester and the weight loss of the fabric.  相似文献   

20.
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   

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