• Journal of the Korea Fashion and Costume Design Association
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• v.22 no.1
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• pp.97-111
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• 2020

Classifying clothing fabrics into fashion images lacks research, but is necessary due to the short cycle of fashion and rapidly changing modern trends as consumers seek to satisfy various needs with an increase of online purchases. There is also a lack of research on fashion trend books which attach real fabrics. Therefore, this study aims to help the planning field by recognizing fabric sensibility related to the fabric image perceived by consumers. The data analysis results from descriptive statistics, t-test, and ANOVA using SPSS are as follows: Differences in the visual tactility evaluation related to the consumer recognized fabric images showed more significant differences in F/W seasons. The elegance image was shown as relatively thick, the avant-garde image was shown as relatively heavy, thick fabric. The feminine image was shown as relatively thin and smooth fabric, the sporty images were shown to be moist, flexible and elastic, and the mannish images were relatively rough. The romantic images were shown as relatively thin fabrics. The conclusions inferred from the visual tactile evaluation related to the fabric images recognized by consumers vary by major, so the prior information concerning fabrics and trends can affect the selection of images. The results of this study show that in order to produce clothes suitable for fashion product planning by learning about visual tactility that consumers recognize, fabrics component data displayed in fashion trend books from 2016 to 2018 are needed, so the planner can receive help when selecting the fabrics suitable for each trend.

• Journal of the Korean Society of Costume
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• v.58 no.9
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• pp.18-28
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• 2008

The purpose of this study is to examine the Characteristics of Fashion Trends($1996{\sim}2005$) of Korea by the trend elements - style, fabric and color. The results of this study are as followed. During 10years, 'modern(18%)', 'elegant(11%)' and 'romantic(10%)' styles were shown in order, and colors of YR(17%), Y(14%), R(13%) and PB(11%) were shown in order. Considering tones, m(16%), d(12%), gy(11%) and s(10%) tones were in the order of frequency. In the fabric trend 'elegant(19%)', 'modern(14%)' and 'natural(14%)' images showed the high frequency. Since 2000's, style trends and fabric trends were subdivided, and the contrary images coexisted. The trend images of 'natural', 'retro', 'manish' and 'fun' were mainly used in fabric trend, and 'romantic' and 'classic' images were frequently used in style trend. The changes of trend images in style and fabric have been similar until the early 2000's but the cycle of trend of style became shorter than fabric trend. Therefore the cycle of fabric trend should be changed to be a short term and subdivided in company with style trend.

• Korean Journal of Human Ecology
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• v.23 no.2
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• pp.317-328
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• 2014

In this study, differences of texture image and preference for men's suit fabrics according to mechanical properties, hand and fabric information were investigated. 55 subjects evaluated texture image and preference of 12 kinds of wool blended fabrics. For statistical analysis, t-test and pearson correlation coefficients were used. The results were as follows: Most of mechanical properties effected on texture images, and bending property and shearing property were effected on tactile preference and purchasing preference. For hand, objective hand values showed correlations with subjective texture images and preferences, but THV had almost no correlations. In sensory images according to presence of fabric information, fabrics were evaluated thinner, lighter, more pliable and smooth by cognition of wool blending ratio. For sensibility images, fabrics were evaluated more refined, intellectual, dignified and less practicable after recognize of wool blending ratio. In preferences, tactile preference was increased and purchasing preference was decreased after recognize fabric information. Therefore, significant differences of texture image and preference were observed according to presence of fabric information.

• 제어로봇시스템학회:학술대회논문집
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• 1997.10a
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• pp.1306-1309
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• 1997

Fabric hand feeling is an important property used in apparel industry. This paper shows a sensing method to output a fiber whisker's stick slip vibration by scanning it on the fabric. Then the vibration waveforms are transformed to the Symmetrized Dot Pattern images. Experimental results show that SDP images of fiber whisker's stik slip is potentially useful to the detection of fabric hand feeling values.

• Fashion & Textile Research Journal
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• v.7 no.1
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• pp.56-62
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• 2005

Fancy Yarn has developed diverse textures in fabrics, reducing the time in yarn and fabric production or apparel making in order to develop creative goods. In this study aimed to propose the use of a 4D box system to make fancy yarn shapes with loops, knops and spirals and the like. The change in texture was analysed and simulated to produce a suitable fabric image by using the fancy yarns fabric. The results are as follows. The plain weave, 2/2 basket weave, 2/2 twill weave, 2/2 2 complete broken weaves, and 5 harness sateen weaves were woven and a fabric image formed. In the case of the loop and the knop yarns fabric image, compared to the twisted fabric image the surface was covered by loops or some parts became partially black. In the case of the spiral shape it showed pattern continuity in spiral shapes 1, 2 and 3. The more twisted spirals produced a diamond shaped pattern or a twill line and a herring bone shaped twill line. An evenly distributed black fabric image appeared in 5 harness sateen weave. For the loop shape the broken weave or 5 harness sateen weave was produced; basket weave and broken weave for the knop yarn 1 or knop yarn 2; and for the spiral shape a plain fabric or 5 harness sateen weave were produced much similar to the fabric image. The surface texture of the mapped image compared to the twisted fabric image produces fancy yarn fabric images covered with loops or irregular spots caused by the knop and the spiral. Therefore it is appropriate or suitable for the simulation of tweed or woolen wool fabrics. The fabric image which produced consistent and continuous lines is therefore more suitable for simulations of twill or herringbone fabric images.

• Korean Journal of Human Ecology
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• v.13 no.5
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• pp.787-798
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• 2004

This research was designed to compare clothing fabric images between on- and off-line by fabric types and its characteristics. 125 subjects who have a fashion design major evaluated the fabric image of various 16 kinds of specimens on- and off-line. Frequency, x2-test, t-test, and Pearson correlation were used for statistical analysis by SPSS WIN 11.0. The results of this study are as follows: 1. The advantage of on-line shopping includes low price and purchasing convenience, etc. On-line shoppers mostly purchase clothing items, such as T-shirt and slacks. In most cases, texture of fabrics provides a main cause for the shoppers' discontentment with internet shopping. 2. The results of t-test for the difference of the evaluation score show that plain or pile weave and highly thick or thin fabrics-for example, Organdy, Corduroy, Nylon Taffeta, Plush, etc.-have a large difference between on-and off-line image. On the other hand, medium-thick twill weave-for example, Tweed, Flannel, etc.-or patterned weave-Chiffon, Dobby fabric, etc.-shows a small difference. 3. The results of correlation of the evaluation score indicate that wool twill fabrics like Tweed, Saxony, and Polafleece show a high correlation between two kinds of evaluation score. In texture preference, no correlation exists between on-line and off-line. 4. With an analysis on fabric image evaluation by fabric characteristics, smooth, shiny pink Satin was found the most positively-evaluated item in all evaluation fields except in pattern preference and individuality. On the other hand, thick olive green Corduroy was evaluated most negatively in the fields of elegance, luxury, and feminine. 5. When compared with real ones, thin fabrics provide a different on-line fabric image. For example, Nylon Taffeta and Organdy were evaluated positively on-line because of luster and pastel tone color. However, lusterless uneven cotton Seersucker was evaluated negatively. 6. Real fabrics preference is more negative than on-line ones. In addition, patterned or unique fabrics display a high agreement between the two kinds of images.

• Science of Emotion and Sensibility
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• v.7 no.3
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• pp.1-6
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• 2004

The algorithm developed in this paper allows us to generate or synthesize a large amount of data sets using only a small amount of signal features obtained from the original data set. Because the simulated density profiles of yarns retain the original features without a significant loss of information on the location of imperfections, the resulting fabric images are likely to resemble the original images. The data expansion system developed could generate a large area of fabric images by combining the Monte Carlo simulation and the wavelet sub-band exchange algorithm developed. The system has proven effective for simulating realistic fabric images by retaining the location of imperfections such as neps, thin and thick places.

• Journal of the Korean Society of Clothing and Textiles
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• v.25 no.8
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• pp.1408-1419
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• 2001

The purpose of this study was to investigate the fashion trends of last three years and how the trends were imaged by the structural characteristics of the fabrics. The characteristics for 897 fabrics were analyzed from four kinds. eleven volumes of fashion trend magazines. From these magazines, three panels categorized by their frequencies as nine images such as natural, innocent, ethnic, childish, casual, classic, modern and technical, Sub-images of each image such as rustic, irregular, decorative, etc were also categorized. For the each image, fiber contents and structural characteristics of weave type, weight, density, yarn size, twist and fabric finishes were investigated in terms of frequency, range and mean, Results showed that chiffon and organza seemed to have very specific images and used to represent specifically the romantic or ethnic images; whereas voile and jersey was used to represent various images. For S/S seasons, most popular fiber type was cotton. The weave type was not the important factor to give variations in images; plan weave exclusively used irrespective of image. For the romantic, ethnic and innocent images, rather light fabrics were used. For the childish and natural, medium weights, and for the technical, modern and classic images heavy weight fabrics were used. Vaious finishes were employed to represent specific images.

• Journal of the Korean Society of Clothing and Textiles
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• v.27 no.11
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• pp.1318-1329
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• 2003

The purpose of this study was to examine the effects of the structural characteristics of men's suit fabrics on the texture image and the preference, and to analyze the relationship between the preference and the practical sales ratio. In addition, the texture images and the preference of fabric and jackets made of the same fabrics were compared. As specimen, jackets for men's suit of 2002' S/S and their fabrics were collected. Questionnaires composed of 22 sensibility related and 21 fabric image related adjectives were developed. For the subjective evaluation of the texture image, both jackets and fabric samples were tested. Tests were performed with 100 female subjects in clothing department and apparel industry. For the objective evaluation, structural characteristics such as fiber contents, yarn twist, fabric count, thickness and weight were analyzed. Total Hand Value were calculated from mechanical properties determined by the KES-FB system. Factor analysis showed sensibilities were classified into 6 categories; "surface roughness", "weight", "density", "stiffness", "elasticity" and "wetness". Fabric images were classified into 4 categories; "classic", "original", "practical", and "stuffy". Depending on the method to show the specimen to the subjects, whether it is suit or fabric, statistically significant differences were observed with a number of adjectives for sensibilities and fabric images. The results of THV of KES did not agree with the preference of subjects, which suggests that we should be careful when using the KES system, which was developed for Japanese people. Price was considered to be another factor besides the texture image that influenced on purchase.

• Journal of Fashion Business
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• v.7 no.5
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• pp.108-118
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• 2003

Surface properties, including the texture and the luster, of cotton fibers and yarns thereof play an important role in textile technology. The convolutions and the cross-sectional shape of the cotton fiber affect the fabric texture and the luster accordingly. Mercerization of the cotton fabric affects the luster, strength, and other properties of the fabric. In this study, the effect of mercerization was examined on the luster of the cotton fabric, together with the effect of polishing treatment. One of the traditional methods determining the fabric luster is the use of glossmeter or goniometric glossmeter. The use of glossmeter gives successful results in determining the gloss of rather flat and continuous surface such as plastic sheet, painted surface, or paper products. Since the textile fabrics have diverse surface structures and textures, these could be regarded as having three-dimensional surface. Such complexity imposes some difficulties for differentiating subtle surface luster properties of diverse textile fabrics. The advancement in the area of imaging technologies has enabled the micro-scale analysis of the surface textures and the fabric luster recently. Using a CCD camera, the surface luster images were taken at various incident illumination conditions. Microscale analysis, including the blob analysis, of the images could differentiate the subtle luster properties present in a group of cotton fabric samples comprising mercerized cotton fabric, non-mercerized cotton fabric, polished cotton fabric, and a 'standard' cotton fabric. The glossmeter measurement gave satisfactory but limited differentiation among the samples, whose luster differences are easily recognizable with visual observation, except for the mercerized cotton fabric sample and the non-mercerized cotton fabric. The microscale analysis of the fabric luster could, therefore, help understand the nature of diverse textile fabric luster.