• Archives of design research
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• v.13
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• pp.123-137
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• 1996

Weaving, is an ideal subject for study to designer who is concerned with interrelationship between art and technology. Double cloth is a two layered fabric that can be woven on the loom with more than 4 harnesses, is often used to produce special woven fabric such as double width fabric or reverse pattern fabric, etc, in textile industry. Because of the attractive characteristic of two layered structure, double cloth technique can be applied as expressive media in fiber art requiring aesthetics and creativty. in the work, the concept, types, and characteristics of double weave have been studied through literature survey and sample production and the potential characteristics of this technique is, especially, emphasized by analysing the representative works of artists specilized in a double weave. Double weave technique can provide various images or forms throught the variation of structures and expressive styles and therefore suggests another characteristic expression creative means for weaver to develope.

• Science of Emotion and Sensibility
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• v.10 no.4
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• pp.631-637
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• 2007

This research focuses on similarity evaluation of images according to tones of images. Color space of images were converted RGB color space into HSI color space. The information entropy criteria has been taken for evaluating similarity of images for digital library. The similarity was then calculated by combining correlation coefficients and information entropy. Those two values are further analyzed with a relation to human sensibility.

• Fashion & Textile Research Journal
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• v.23 no.5
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• pp.667-673
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• 2021

The purpose of this study was to obtain drape information and objective texture of fabrics easily and quickly by using a constructed fabric database. For the construction of the fabric database, 287 woven fabrics were examined by using the CLO fabric kit, KES-FB system, and drape test system. The k-means cluster analysis method was used to classify the fabrics into 7 grades. After correlation analysis of the fabric properties for each experiment, similar properties of the CLO fabric kit and KES-FB system were chosen, which were then designed to extract similar fabrics from the database. It was confirmed that inferring the drape information and objective hand feeling of fabrics was to some extent possible by extracting similar fabrics from the database. In this study, the primary hand and total hand value(THV) of KES-FB system, which was constructed by Kawabata and other experiments, were used to quantify the objective hand feeling, because they are the most widely used. However, these standards can be changed over time; in order to be applied within the clothing industry, these standards may have to be changed to some extent. Moreover, it is notable that although objective hand feeling cannot be expressed in the 3D virtual costume program, it can be easily derived from the constructed database. Additionally, it is expected that the existing 3D virtual costume program will express the costumes more realistically by improving these results.

• 한국생활과학회:학술대회논문집
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• 2009.05a
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• pp.159-160
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• 2009

• Korean Journal of Human Ecology
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• v.19 no.1
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• pp.137-147
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• 2010

This research was designed to compare the subjective evaluation of texture image and preference by structure and sensible characteristics of women's suits fabrics between on- and off-line. 78 subjects who majored in fashion design evaluated the sensibility image and preference of 15 various kinds of specimens on- and off-line. Factor analysis, t-test, Pearson correlation and regression were used for a statistical analysis by SPSS WIN 13.0. The results of this study were as follows: 1. Women's suits fabrics were classified according to five sensibility image factors: 'classic', 'sophisticated', 'natural', 'characteristic', and 'practical'. 2. The results of the t-test showed that there were no differences between the on- and off-line evaluation of sensibility images. 3. The analysis of correlation indicated that the 'classic'-'sophisticated' and 'natural'- 'practical' sensibility images show a significant correlation between the two kinds of evaluation. 4. The results of regression revealed that 'sophisticated', 'characteristic' and 'practical' sensibility images had an effect on the purchase preference of women's suits fabrics. 5. 'Sophisticated', 'characteristic' and 'classic' sensibility images had an effect on the tactile preference of women's suits fabrics. 6. The structural characteristics of fabrics: thickness, weave and weight had an effect on the 'classic' sensibility image. Thickness had an effect on the 'sophisticated' sensibility image and fabric count had an effect on the 'characteristic' sensibility image.

• Textile Coloration and Finishing
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• v.18 no.1
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• pp.33-43
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• 2006

The purpose of this study was to eximine the effect of different yam twisting methods on mechanical properties and 3D CAD images of plain knitted fabrics made of composite yarns. Six yams were used in this study: four different composite yams of the six consist of acetate and functional polyester (Poly-m) with the ratio of 70:30, and the rest two are the original acetate $100\%$ yam and the poly-m $100\%$ yarn. The four kinds of composite yarns were processed in combinations of twisting processes such as interlacing, false twisting, two for one twisting, combined twisting and single covering, and the two original yams were knitted without any twisting process. Sixteen mechanical properties of all the six knitted fabrics, knitted under the same knitting conditions, were measured by KES-FB system with the outer knit condition. The results were as follows; 1) When the sample applied with the false twisting process at the temperature as high as $220^{\circ}C$, ENT, B, HB, G and RC values of samples increased which leads to increasing dimensional stability. 2) To gain the high bending and shear properties in the single covering process, selecting the core yarn with such properties is the most important factor. 3) Interlacing process effected to increase RC value. 4) False twisting process after interlacing process gave bulkiness and un-interlaced part in yam was increased SMD value. The SMD value of the kilted fabric of the composite yarn, which was put through the combined twist process, was higher than those of which simple process such as the two for one twist or the single covering process applied. In order to achieve the silk-like surface feel of knitted fabric, the sin91e covering process is recommended. 5) Examining the simulation images of the knifed fabrics of composite yarn, which were generated by the 3D CAD system based on the mechanical properties of the fabric, led that appearance could be changed as different twisting methods were applied.

• Fashion & Textile Research Journal
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• v.12 no.5
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• pp.555-563
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• 2010

This research has attempted for a categorization by contemplating on concepts and characteristics of eco fashion design through analysis of precedent studies and to study the design characteristics, images, and internal values through keyword and design codes which appeared in the precedent studies. The subject of analysis was mostly focused on the theses published in international and domestic academic journals from 1990s to September 2009. The design characteristics of each eco fashion design were analyzed by classifying by form, detail, color, fabric and pattern. Method of analysis did content analysis. The results of the research can be summarized as follows. First of all, types of eco fashion design were human-ecology design, natural-ecology design, and social-ecology design. Secondly, the human-ecology design was presented a natural and comfortable form, color of the nature, and functional and new materials. The natural-ecology design was presented a natural silhouette, natural colors, and natural fiber. The social-ecology design were used a loose silhouette and over-size forms, natural colors, and recycled materials and bio fabric. Thirdly, the images per type of eco fashion design were Zen, sportive, natural, and modern image. And the internal values were presented efficiency, health-orientation, naturalness, and continuity.

• Journal of Information Processing Systems
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• v.8 no.2
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• pp.359-374
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• 2012

In this paper, we propose a new machine vision algorithm for automatic defect detection on patterned textures with the help of texture-periodicity and the Jensen-Shannon Divergence, which is a symmetrized and smoothed version of the Kullback-Leibler Divergence. Input defective images are split into several blocks of the same size as the size of the periodic unit of the image. Based on histograms of the periodic blocks, Jensen-Shannon Divergence measures are calculated for each periodic block with respect to itself and all other periodic blocks and a dissimilarity matrix is obtained. This dissimilarity matrix is utilized to get a matrix of true-metrics, which is later subjected to Ward's hierarchical clustering to automatically identify defective and defect-free blocks. Results from experiments on real fabric images belonging to 3 major wallpaper groups, namely, pmm, p2, and p4m with defects, show that the proposed method is robust in finding fabric defects with a very high success rates without any human intervention.

• Journal of the Korean Society of Clothing and Textiles
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• v.32 no.5
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• pp.800-807
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• 2008

The purpose of this study is to compare the subjective texture of actual objects and their picture images on the Internet to find out a method to present visual images in order to supply information similar real objects. For this study, seven knit fabrics and four presentation methods of visual images including twice magnifications and two dimensions of 2D and 3D. The results of this study were as follows: There are significant differences among subjective textures evaluated by touching seven fabrics actually and we can verify the effects of fiber contents and loop length of knit on textures. We can find out differences of texture depending on presentation methods. In case of 2D evaluation of knits fabrics, visual images of real size present a little exact information on roughness and heaviness whereas those of twice magnification do roughness, wetness, softness and luster. And 3D images give us more exact information of textures on softness, heaviness and warmness, but rather twice enlarged 3D image can't supply an information of heaviness texture.

• The Research Journal of the Costume Culture
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• v.16 no.5
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• pp.841-851
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• 2008

The purpose of the study was to examine the effect of motif categories and motif colors on evaluating sensory image of fashion materials with the gestalt theory as the background. The research was conducted on a quasi experimental basis, with subjects numbering 187 male and 207 female college students. Data were collected in the period from march 19th to march 31st, 2007. A set of fabric stimuli and semantic differential scales were developed. The stimuli were thirteen fabric species(each measuring 12 by 13cm). Variables included; (a) motif colour(white, grey, pink and blue) (b) motif categories(plain, paisley, flower, stripes and zebra effect). The semantic differential scale to measure sensory image of fabric stimuli included 23 sets of bi-polar adjectives. The data were analysed by factor analysis and ANOVA and the major finding were as follows. 1) Four sensory dimensions emerged of importance: salience, attractiveness, comfort and softness. 2) The motif category effected on the four sensory image dimensions while the motif colour effected on salience, comfort and softness sensory dimensions. 3) An interaction effect was founded between motif category and motif colour. 4) Motif category showed significant effects on the preference and liking of the fashion, however the motif colour did not show any significant effects on the preference and liking. As a whole the results supported the gestalt theory and the results can be used for the marketing strategy for developing fashion fabrics.