Analysis of the Draping Behaviour of Multi-Layer Textiles using Digital Image Processing

Taha, Iman; Abdin, Yasmine; Ebeida, S.

doi:10.1177/096739111202000910

Cited by 3 publications

(5 citation statements)

References 12 publications

(16 reference statements)

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“…Several studies focused on static and dynamic drape of fabrics [12][13][14]. There are also reported investigations on the draping behaviors of multi-layer textiles using digital image processing [15,16]. As expected, the challenging question of theoretical modeling of fabric drape phenomena has attracted much interest [17][18][19][20][21][22][23][24][25][26][27][28][29][30][31].…”

Section: Introductionmentioning

confidence: 99%

“…Although there have been variations [32,33,37,38] of the Cusick Drapemeter, attempting to eliminate or alleviate some of the problems in the original design, none of them seems to have improved to such degree that a commercial model has been widely accepted by industrial users. Imaging analysis has been [15,[39][40][41][42] applied to the test, but it can only improve the analysis of the results and can do little in dealing the problems intrinsic in the test principles.…”

mentioning

confidence: 99%

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A New Method for Measuring Fabric Drape with a Novel Parameter for Classifying Fabrics

Pan

Lin

Xu³

2019

Fibers

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With huge varieties of fabrics, the first challenge for any performance evaluation is to categorize the vast types of the products into fewer, more homogeneous and akin groups. Classification or sorting is arguably the first step of any scientific investigation, and comparison of product quality is meaningful only when conducted within a group of comparable products. A new criterion termed fabric linear density λ is first proposed in this paper so that fabrics can in general be divided into four groups. The derivation and validation of this parameter are provided. The importance of fabric drape is almost self-evident, but there are still no effective ways to easily measure this fabric attribute. A few existing instruments, notably the Cusick Drapemeter, suffer from low repeatability and low sensitivity and are hence not widely or frequently used. It is demonstrated in this study that, by using the PhabrOmeter, along with the fabric linear density λ, a much more efficient alternative for fabric drape test can be achieved. By actually testing 40 various fabrics, the principle, procedure and results of this method is presented in this paper.

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Section: Introductionmentioning

confidence: 99%

mentioning

confidence: 99%

A New Method for Measuring Fabric Drape with a Novel Parameter for Classifying Fabrics

Pan

Lin

Xu³

2019

Fibers

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show abstract

“…Even though imaging analysis has been [24][25][26][27][28] applied to the test, but it can only improve the analysis of the results, but do little in dealing the problems intrinsic in the test principles.…”

Section: Introductionmentioning

confidence: 99%

A New Method for Measuring Fabric Visual Attributes: Wrinkle Recovery<strong> </strong>

Pan¹,

Lin²,

Xu³

2018

Preprint

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It is demonstrated in this study that PhabrOmeter creates genuine wrinkle on fabrics comparable to that in AATCC specifications, and measures fabric wrinkle recovery values fast with repeatable and reliable results with high resolution, over wide range of fabric types. It thus provides an appealing alternative to the existing test methods that are known to be slow, insensitive and unreliable.In addition, with enormous varieties of fabrics, we used a new criterion termed fabric linear density λ so that fabrics can in general be divided into relatively homogeneous groups for further study. The calculation and application of this parameter are showed in this report.

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“…Several studies focused on static and dynamic drape of fabrics [8][9][10]. There are also reported investigations on the draping behaviors of multi-layer textiles using digital image processing [11,12]. As expected, the challenging question of theoretical modeling of fabric drape phenomena has attracted much interest [13][14][15][16] [17][18][19][20][21][22][23][24][25][26][27].…”

Section: Introductionmentioning

confidence: 99%

“…Imaging analysis has been [11,[33][34][35][36] been applied to the test, but it can only improve the analysis of the results but can do little in dealing the problems intrinsic in the test principles.…”

Section: Introductionmentioning

confidence: 99%

A New Method for Measuring Fabric Drape with a Novel Parameter for Classifying Fabrics<strong> </strong>

Pan¹,

Lin²,

Xu³

et al. 2018

Preprint

View full text Add to dashboard Cite

With huge varieties of fabrics, the first challenge for any performance evaluation is to categorize the vast types of the products into fewer, more homogeneous and thus akin groups. Classification or sorting is arguably the first step of any scientific investigation, and comparison of product quality is meaningful only when conducted within a group of comparable products. A new criterion termed fabric linear density λ is first proposed in this paper so that fabrics can in general be divided into 4 groups. The derivation and validation of this parameter are provided.The importance of fabric drape is almost self-evident, but there is still no effective ways to measure this fabric attribute. The Cusick Drapemeter suffers from its low repeatability and low sensitivity, and is hence not widely or frequently used. The PhabrOmeter, along with the fabric linear density λ, is proposed and demonstrated in this study as a much more efficient alternative for fabric drape test. By actually testing 40 various fabrics, the principle, procedure and results of this method is presented in this paper. IntroductionVisual attributes of textile fabrics represent a sub-group of sensory properties, perceived particularly by visual sense of consumers. Such visual qualities include fabric drape, surface state and luster, and, by logical extension, the fabric wrinkle recovery, fabric surface retention and stain resistance, i.e., all fabric appearance related esthetic characteristics. We call them fabric attributes to differentiate from the term fabric properties such as the fabric weight and fabric strength, for the latters are much easier to describe and with definitions widely accepted, and measurement methods well established.

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Analysis of the Draping Behaviour of Multi-Layer Textiles using Digital Image Processing

Cited by 3 publications

References 12 publications

A New Method for Measuring Fabric Drape with a Novel Parameter for Classifying Fabrics

A New Method for Measuring Fabric Drape with a Novel Parameter for Classifying Fabrics

A New Method for Measuring Fabric Visual Attributes: Wrinkle Recovery<strong> </strong>

A New Method for Measuring Fabric Drape with a Novel Parameter for Classifying Fabrics<strong> </strong>

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