• 제목/요약/키워드: Fabric classification

검색결과 45건 처리시간 0.027초

시각 장치를 이용한 직물 결함 검사에 관한 연구 (A Study on The Visual Inspection of Fabric Defects)

  • 경계현;고명삼;이상욱;이범희
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 1988년도 전기.전자공학 학술대회 논문집
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    • pp.959-962
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    • 1988
  • This paper describes an automatic visual inspection system for fabric defects based on pattern recognition techniques. The inspection for fabric defects can be separated into three sequences of operations which are the detection of fabric defects[1], the classification of figures of fabric defects, and the classification of fabric defects. Comparing projections of defect-detected images with the predefined complex, the classification accuracy of figures of fabric defects was found to be 95.3 percent. Employing the Bayes classifier using cluster shade in SGLDM and variance in decorrelation method as features, the classification accuracy of regional figure defects was found to be 82.4 percent. Finally, some experimental results for line and dispersed figures of fabric defects are included.

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직물 결함영역을 표시한 영상에 대한 실험적 고찰 (Experimental Remarks on Manually Attentive Fabric Defect Regions)

  • ;최현영;고재필
    • 한국정보통신학회:학술대회논문집
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    • 한국정보통신학회 2019년도 춘계학술대회
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    • pp.442-444
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    • 2019
  • 직물결함 분류는 원단 품질관리에 있어 중요한 문제이다. 하지만, 다양한 결함의 종류를 영상으로 식별하기 어렵기 때문에 자동화가 어렵다. 따라서 직물결함 분류는 대부분 사람에게 의존하고 있다. 본 논문에서는, 이를 해결하기 위해 직물결함 분류 문제에 CNN을 적용한다. 또한 CNN의 학습을 보다 쉽게 하기 위하여, 사람이 영상에 결함 영역을 표시하는 방법을 제안한다. 본 논문에서는 제안방법과 원본영상에 대한 비교실험을 수행하여, 제안방법이 학습에 효과가 있다는 것을 확인하였다.

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Research on Aesthetic Characteristics of Fabric Expression Technique of Art to Wear - Focusing on Art to Wear artists in the U.S.A. -

  • Jin, Kyung-Ok
    • 패션비즈니스
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    • 제11권3호
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    • pp.133-151
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    • 2007
  • The role of fabric now directly related with the expression of the beauty of clothing and it provides new and creative ideas. This study was aimed at reviewing basic data that can be used in systematic design development through fabric expression for today's fashion designers who must study unique, original fashion design development. For systematic development of design technique through fabric expression, fabric expression methods and characteristics, aesthetic characteristics and fabric design of 'art to wear' were reviewed and the results are as follows. First, the highly wrought fabric expression of art to wear was confirmed to be comprehending a message within itself. Second, aesthetic characteristics of fabric expression used in art to wear can be classified as decorativeness, extensity, 2-D pictorialness, handicraft, compounding and rearrangement, and 3-D characteristics. Third, the 6 aesthetic characteristics have unique design features and aesthetic categories. The understanding the fabric expression techniques through study on the classification of the fabric expression in 'art to wear' is expected to be extended to proposition of creative direction and inspiration of modern fashion.

코트의 유형분류와 디자인 특성에 관한 연구 (Study on Type Classification and Design Characteristics of Coats)

  • 이혜숙;김재임
    • 복식문화연구
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    • 제12권3호
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    • pp.339-353
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    • 2004
  • Purposes of this study were to analyzed coat types and characteristics of coat of young persons, and search whether fashion trend is reflected on coat. Data collected pictures that they are wearing dress in street of Daejeon city 3 places that there are much the rising generations at November, 1999. This study target was from teens latter half to 20 opening part, 154 women. Data analyzed content analysis, frequency analysis, crossing and the result is as following. First, classification standard of coat was textile fabric, form of detail and ornament. Second, coat could classify in three types, type 1 was traditional duffle coat style that is distinguished by form of detail and ornament(hood and button). Type 2 was classified property of textile fabric that used leather, padding, fur etc., and type 3 was classified by collar detail of woolen fabric coat. Specially, ornamental fur of woolen coat perceived visually strong. And design detail of coat showed significant difference in coat type. That is, duffle coat type was designed patch pocket and toggle, woolen fabric coat type was hidden button and seam pocket. Third, fashion tendency of coat was proved that is reflecting part of predicted fashion trend.

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레이스의 범주와 분류체계에 관한 연구 (A Study on the Category and Classification System of Lace)

  • 김희선
    • 한국의상디자인학회지
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    • 제16권4호
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    • pp.117-136
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    • 2014
  • The purpose of this study is to present a classification system of the hand-made and machine-made lace according to the configuration method and re-make the category and definition of lace to consider the emergence and development of major laces techniques. The re-made category and definition of the lace is as follows. The lace usually consists of ground and motifs, however, the techniques of netting and sprang are suitable for making ground than motif, so I think it is appropriate to exclude them from the category of the lace. Many scholars are excluded openwork embroidery fabric from the category of the lace. But, an openwork embroidery fabric is the basis of a needle point lace called true lace and is consist of motif and ground. I think it is appropriate to include it in the category of the lace. I think it is also appropriate to include in the category of the lace that the eyelet embroidery fabric which mimics the openwork embroidery fabric in the machine. Lace is redefined that a fabric with openwork decoration consists of motif and ground, constructed by a variety of ways such as plaiting, twisting, looping, knotting of threads or embroidering by hand or machine. The classification of the lace is presented as follows. Hand-made lace is classified bobbin lace, needle point lace, embroidery lace, knotted lace, crochet lace, and knitting lace. Machine-made lace is classified raschel lace, leaver lace, torchon lace, and machine-made embroidery laces which include tool lace, eyelet embroidery lace, chemical lace, etc.

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현대미술과 패션에 나타난 섬유 및 소재의 물질성 (Materiality of Fabric in Contemporary Art and Fashion)

  • 예민희;정지숙;임은혁
    • 복식
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    • 제64권5호
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    • pp.50-61
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    • 2014
  • Fashion has been compared to art since Japanese avant-garde fashion designers expanded the thoughts about conceptual fashion in late 1970s. The fashion designers focused on the materiality of fashion textiles by placing more importance on it than the shapes. This bears a striking resemblance to contemporary art of 1960s and 1970s as many artists used soft materials like felt, fabric, rubber to emphasize themselves. This study establishes the materiality of fabric, which can be found in both contemporary art and fashion. The classification of materiality consists of flexibility, humanizing and temporality. In this work, there is a significant disparity between contemporary art and fashion.

막재료의 난연 및 방염성능 실험에 대한 연구 (Tests of Fire and Flame Retardant Performance for Membrane Materials)

  • 김기철;최광호
    • 한국공간구조학회논문집
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    • 제16권2호
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    • pp.55-60
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    • 2016
  • The Membrane structure has a number of problems in the application of a fireproof code based on general buildings codes. Thus, the fireproof code of membrane structure is necessary to activate the construction of the membrane structure. Because it requires a systematic classification of fire retardant and flame proof performance of membrane material. Fire retardant and flame proof tests are conducted on membrane materials mostly used in current construction to propose the fire and flame retardant performance criteria of membrane materials. Fire and flame retardant tests results, PTFE membrane material with the glass fiber fabric have a limit-combustible performance. PVDF membrane material with the polyester fabric does not ensure the fire retardant performance, but this membrane material has the flame retardant performance of a thick fabric. Also, ETFE does not ensure the fire retardant performance, but this membrane material has the flame retardant of a thin fabric.

Immediate Effect of Fabric Ankle Foot Orthosis on Balance in Children With Unilateral Cerebral Palsy

  • Sim, Yon-Ju;Yang, You-Jin;Yi, Chung-Hwi
    • 한국전문물리치료학회지
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    • 제22권2호
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    • pp.52-58
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    • 2015
  • Balance control deficits have been indicated to be a primary problem among cerebral palsy (CP) patients. Fabric ankle foot orthosis (AFO) can allow more efficient balance control by facilitating proprioception. The purpose of this study was to investigate the immediate effect of fabric AFO on balance, compared to a barefoot condition in children with unilateral CP. Twelve children with unilateral CP participated in this study. Their balance ability was evaluated using pediatric balance scale and bubble test. Both pediatric balance scale and bubble test showed significant improvement with the use of the fabirc AFO (p<.05). The fabric AFO could improve functional balance ability, and promote better balance among children with unilateral CP. We demonstrated that fabric AFO contributed to improving balance among children with unilateral CP, classified as Gross Motor Function Classification System level I and II. Consequently, fabric AFO might be an assistive device leading to the improvement of balance instead of the typical AFOs.

직물 이미지 결함 탐지를 위한 딥러닝 기술 연구: 트랜스포머 기반 이미지 세그멘테이션 모델 실험 (Deep Learning Models for Fabric Image Defect Detection: Experiments with Transformer-based Image Segmentation Models)

  • 이현상;하성호;오세환
    • 한국정보시스템학회지:정보시스템연구
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    • 제32권4호
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    • pp.149-162
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    • 2023
  • Purpose In the textile industry, fabric defects significantly impact product quality and consumer satisfaction. This research seeks to enhance defect detection by developing a transformer-based deep learning image segmentation model for learning high-dimensional image features, overcoming the limitations of traditional image classification methods. Design/methodology/approach This study utilizes the ZJU-Leaper dataset to develop a model for detecting defects in fabrics. The ZJU-Leaper dataset includes defects such as presses, stains, warps, and scratches across various fabric patterns. The dataset was built using the defect labeling and image files from ZJU-Leaper, and experiments were conducted with deep learning image segmentation models including Deeplabv3, SegformerB0, SegformerB1, and Dinov2. Findings The experimental results of this study indicate that the SegformerB1 model achieved the highest performance with an mIOU of 83.61% and a Pixel F1 Score of 81.84%. The SegformerB1 model excelled in sensitivity for detecting fabric defect areas compared to other models. Detailed analysis of its inferences showed accurate predictions of diverse defects, such as stains and fine scratches, within intricated fabric designs.

타이어 밴드 직물의 불량유형 분류를 위한 불량 픽셀 하이라이팅 (Highlighting Defect Pixels for Tire Band Texture Defect Classification)

  • 소로;고재필
    • 한국항행학회논문지
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    • 제26권2호
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    • pp.113-118
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    • 2022
  • 사람은 독서나 필기 중 중요 문구를 형광펜으로 칠하는 것에서 착안하여, 본 논문에서는 복잡한 배경 질감을 가진 영상에서의 불량유형을 효과적으로 분류하기 위해 불량 픽셀 영역을 하이라이팅 하여 신경망을 훈련하는 방법을 제안한다. 제안 방법의 가능성을 검증하기 위하여 불량유형 구분이 매우 어려운 타이어 밴드 직물의 불량유형 분류에 제안 방법을 적용한다. 또한, 타이어 밴드 직물 영상에 특화된 백라이트 하이라이팅 방법을 제안한다. 백라이트 하이라이트 영상은 GradCAM 기법과 간단한 영상처리를 이용하여 획득할 수 있다. 실험에서 우리는 제안하는 하이라이팅 기법이 분류 정확도뿐만 아니라 훈련속도 면에서 기존 방법보다 우수함을 보였다. 인식률 면에서는 제안 방법이 기존 방법 대비 최대 13.4%의 향상을 달성하였다. 타이어 밴드 직물 영상에 특화된 백라이트 하이라이팅 기법이 윤곽 하이라이팅 기법보다 정확도 측면에서 우수함을 보였다.