• Title, Summary, Keyword: fabric image

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Automatic Structure Analysis and Objective Evaluation of Woven Fabric Using Image Analysis (화상 분석을 이용한 직물의 자동 설계 및 품질 평가)

  • 최수현;강태진;김성민
    • Textile Science and Engineering
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    • v.36 no.12
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    • pp.916-927
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    • 1999
  • The 'Automatic Fabric Evaluation System', that can analyze the structure of woven fabric automatically and evaluate the quality objectively using image analysis, has been developed. Fabric images were captured by CCD camera and preprocessed by Gaussian filtering and histogram equalization. The fabric constructing parameters, such as fabric count, cloth cover, yarn crimp, fabric thickness, and fabric weight per unit area, were measured automatically from the planar and cross-sectional images of woven fabric using image processing and image analysis. The results obtained with the system were compared with the experimental values and sowed good correspondence. As for the quality evaluation of woven fabric, in the case of defected fabric image, defects such as slub or missing pick were detected successfully and in the case of normal fabric image, the uniformity of yarn spacing and the orthogonality of yarn intersecting angle were proposed as criteria for quality evaluation. Therefore, the coefficient of variation of yarn spacing and yarn intersecting angle were measured quantitatively, such that the quality could be compared relatively through values.

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A Study on Making Fabric Images According to Fancy Yarn Structures Using the Computer (컴퓨터를 이용한 장식사의 구조 요인에 따른 직물이미지 제작에 관한 연구)

  • Sul, Jung-Hwa
    • 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.

The Evaluation of Texture Image and Preference according to the Structural Characteristics of Silk Fabric (견직물의 구조적 특성에 따른 질감이미지와 선호도 평가)

  • Kim, Hee-Sook;Na, Mi-Hee
    • Korean Journal of Human Ecology
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    • v.18 no.1
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    • pp.137-143
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    • 2009
  • The purpose of this study is to examine the evaluation of texture image and preference according to the structural characteristics of silk fabric, and to analyze the effects of texture image and sensibility on the preference. 53 female subjects evaluated fabric image and sensibility of 17 specimens of white silk fabrics sold on the market with semantic differential scale. The data were analyzed through factor analysis, Pearson correlational coefficient and t-test using SPSS win 13.0. For the evaluation, structural characteristics such as fiber contents, weave type, weight and thickness were analyzed. Factor analysis showed that sensibilities were classified into 3 categories; 'surface property', 'weight', 'flexibility'. Fabric images were classified into 2 categories; 'elegance' and 'naturalness'. Statistically significant differences of structural characteristics on the texture image were observed. Weave type affected 'surface property' and fiber contents affected' flexibility'. Weight and weave type affected' elegance', too. The significant factors affecting preference were fabric image of 'elegance' and structural characteristics of 'weave type'. The results of this study showed that the most preferred silk fabric is smooth and soft satin weaved fabric with texture image of 'elegance'.

The Study on Desired Image and Fabric Preference of Woman College Student for Apparel (여자 대학생의 의복 추구 이미지와 소재 선호에 대한 연구)

  • 정인희
    • The Research Journal of the Costume Culture
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    • v.9 no.4
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    • pp.629-638
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    • 2001
  • This study was intended to identify the desired image and fabric preference of woman college student for apparel and the relationship between these variables. Data were collected by questionnaire distributed to 260 woman college students through August to September of 2000. After eliminating incomplete questionnaires, 236 were analyzed. The most desired image was neat, and the most preferred fabric was natural fiber textile in fiber contents and light and soft in fabric sensation. The avoided image was masculine, and the negative sensation was heaviness. As a result of factor analysis, 7 factors -cute, intellectual, animate, neat, mature, sporty, sexy- were determined in image. And 8 factors -soft, durable, flat, rigid, light, bulky, heavy, pliable- were determined in fabric sensation. These factors explained large percentage of variance respectively. Multidimensional scaling was employed to analyze the relationship between desired image and fabric preference. Two dimensions were accepted to interpret the relationship. One of the results showed the closeness among the natural fiber textile, lightness, durability and natural image. And the short distance among the blended textile, elasticity, warmness and sporty image was presented.

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A Study on the Color and Texture of Fashion Fabrics (패션 소재의 색채 이미지와 질감에 관한 연구)

  • 추선형;김영인
    • Journal of the Korean Society of Clothing and Textiles
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    • v.26 no.2
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    • pp.193-204
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    • 2002
  • Many fashion forecasting companies propose the fashion colors in every season. Modern fashion consumer respond to fashionable trends with utmost sensitivity. Therefore to satisfy the consumer with an trendy image, the fashion design must be found first, as image matters, followed by an analysis of each design element's effect on the total image composition. In previous studies of fashion image, has been discussed the positive correlation between fashion design elements of color, fabric, and form as the central issue. In this thesis, two of the fashion design elements, color and fabric are simultaneously considered to classify the image of fabric in fashion. For the color variables, 10 hues are selected from Munsell's system of color notation, and 12 tones from PCCS color notation., which are currently used in the domestic fashion industry. Texture variables used in this survey are classified by luster, prominence-depression of surface, thickness, and density of fabric. Graduate students from 20 to 50 years old and the specialists in fashion companies participated in the survey. The results of this survey are as follows: 1. The fashion fabric image is classified as 5 main images: 'elegant', 'comfortable', 'characteristic', 'light'and 'simple'. 2. The influence of hue, tone and texture is significant to the fashion fabric image. Following colors, yellow-red, red hues and light grayish, dark grayish tones convey the elegant image. The texture property for the elegant image is luster, thin and low density. Properties of fabric conveying the comfortable image are yellow-red and green-yellow hue, soft, light tones, matte and high density. Furthermore, hue turned out to be a insignificant variables for the unique image, whereas dark grayish, grayish tone, luster and prominent texture convey a unique image. For light image, properties of fabric are blue-green, purple hues, light, bright tones with thin, low density texture. Properties of fabric conveying the simple image are blue-green, purple-blue, green-yellow hues, and strong, vivid tones, with luster and flat texture.

Development and Sensory Evaluation of Jacquard Fabrics with Three Dimensional Pattern Design for Bag (가방용 3D 입체패턴 디자인 자카드 직물 개발과 감성구조)

  • Kim, Jeong-Hwa;Kim, Myoung-ok;Lee, Jung-soon
    • Fashion & Textile Research Journal
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    • v.21 no.1
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    • pp.104-111
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    • 2019
  • This study was developed using the DTP (digital textile printing) jacquard fabrics with a three-dimensional pattern for bag and evaluated the preference and emotional structure. The following conclusions were obtained. Three-dimensional patterns of 12 species using the illustrator program, including six kinds of designs based on the text and six kinds of character types based on the geometry of the basic design was developed. As a result of evaluating the preference of the three-dimensional pattern jacquard fabric, the most preferred fabric was a three-dimensional patterned jacquard fabric with a motif of the Korean consonant "ㅅ". The results of analyzing the emotional dimension of the three-dimensional pattern jacquard fabric, eight factors including simple image, feminine image, exotic image, graphic image, sporty image, masculine image, dynamic image and stereoscopic image were derived. Between emotional factors and preferences correlation analysis showed the stronger the simple image, the feminine image, and the sporty image, the more preferable. It suggested the possibility of a morphological and new fabric for bag, textile design motifs by using Hangul consonants attempt to limit the flatness of the existing geometric form patterns that can be applied to three-dimensional bag whether swirly patterns overcome.

A Study on Representation of 3D Virtual Fabric Simulation with Drape Image Analysis II - Focus on the Comparison between Real Clothing and 3D Virtual Clothing -

  • Lee, Min-Jeong;Sohn, Hee-Soon;Kim, Jong-Jun
    • Journal of Fashion Business
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    • v.15 no.3
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    • pp.97-111
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    • 2011
  • This study aims to apply 3D virtual fabric parameters - as obtained from previous research experiments - to 3D virtual clothing simulation in comparing its similarity with actual clothing as worn, with a view to verifying the objectivity and validity of the 3D virtual fabric simulation method devised by the drape image analysis method. In addition, the result is intended to be used as the basic data for new 3D virtual clothing simulation methods. As the results, 3D virtual fabric parameters designed to simulate 3D drape to be similar to actual fabrics were found to be Bending Strength, Buckling Point, Density, Particle Distance, and Shear. They were also found to be important measurements when evaluating visual similarity between drape shadow images and number of nodes. 3D virtual fabric simulation method devised by the drape image analysis method was appropriate in extracting 3D fabric parameters with the reflection of actual fabrics' physical and dynamic characteristics, in connection with 3D virtual fabric simulation. 3D virtual fabric parameters with the reflection of actual fabrics' physical and dynamic characteristics using the proposed 3D virtual fabric simulation method are accumulated and provided as a standard, this will facilitate the introduction 3D virtual fabric simulation technology.

Recognition of fabric sensibility related to fashion fabric image - Focusing on the visual tactility of the fabric - (패션소재이미지에 따른 직물감성의 인지 - 직물의 시각적 촉감을 중심으로 -)

  • Kim, In-Hwa;Park, Myung-Ja
    • 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.

Color Sensibility Image of Naturally Dyed Silk Fabric (천연염색 견직물의 색채감성 이미지)

  • Yang, Young-Ae;Yi, Eun-Jou
    • Science of Emotion and Sensibility
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    • v.13 no.2
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    • pp.403-412
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    • 2010
  • This study was aimed to consider the influence of hue-tone, dyes, and mordants of naturally dyed silk fabric on color sensibility image factors and to establish color sensibility image scales of naturally dyed silk fabric by color and image descriptors. By single or sequential dyeing with various natural dyes commercially available in domestic and foreign market on the same silk fabric, a total of 66 colored fabric stimuli were prepared and they were used to evaluate subjective color sensibility image by 40 participants. As results, four different color sensibility image factors for naturally dyed silk fabric, 'delight', 'natural', 'modern' and 'attractive' were extracted. All of factors were significantly influenced by hue-tone, dyes, and mordants. Furthermore, by using color sensibility image adjectives and colors, multidimensional image scales were established, which leads to the conclusions that the results of this study help to design color sensibility-oriented naturally dyed fabric and apparel products.

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The Comparison of Fabric Images between On-line and Off-line by Fabric Types and Characteristics (직물의 종류와 특성에 따른 온라인과 오프라인에서의 의복소재 이미지 비교)

  • Kim, Hee-Sook;Cho, Shin-Hyun
    • 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.

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