Image-Processing in Textiles

Behera, B.K.

doi:10.1080/00405160408689005

Cited by 25 publications

(20 citation statements)

References 264 publications

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“…The basic principles underlying this technique along with numerous applications are detailed by Behera in Textile Progress [83]. Lin [54] used feed-forward back-propagation neural nets to find the relationships between the shrinkage of yarns and the cover factors of yarns and fabrics.…”

Section: Applications Of Annmentioning

confidence: 99%

Woven fabric engineering by mathematical modeling and soft computing methods

Behera

2011

Soft Computing in Textile Engineering

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Section: Applications Of Annmentioning

confidence: 99%

Woven fabric engineering by mathematical modeling and soft computing methods

Behera

2011

Soft Computing in Textile Engineering

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“…Image processing of the jet path was performed using Matlab programming. [21][22][23][24] Image processing consists of the following steps: image acquisition and quantification of image, improvement of image quality and highlighting distinguishing features, and compression of image data. An image is a two-dimensional array of numbers.…”

Section: Image Processingmentioning

confidence: 99%

“…20 Image processing of the fiber formation path was carried out by region growing algorithm using Matlab. [21][22][23][24] Several images from each stage of fiber formation were captured and analyzed.…”

Section: Introductionmentioning

confidence: 99%

Role of Jet Path on Uniformity of Electrospun Nanofibers

Patanaik¹,

Jacobs²,

Anandjiwala³

2011

j nanosci nanotechnol

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This paper reports on the role of jet path in obtaining uniform and bead free nanofibers during electrospinning process. Polyethylene oxide (PEO) nanofibers were electrospun by varying the molecular weight of PEO and concentration of poly allylamine hydrochloride (PAH) in the spinning solution. Different modes of fiber formation were captured by a camera and analyzed further by image processing technique in order to assess their influence in the formation of uniform and bead free nanofibers. Two different jet paths during fiber formation, namely straight and whipping were assessed. The length of the straight jet path during the fiber formation played a major role in the formation of uniform nanofibers in comparison to the length of the whipping path. The diameter and surface morphology of the nanofibers were characterized by SEM. Nanofibers spun using higher concentration of PAH exhibited longer straight jet path and therefore more uniform nanofibers in comparison to that spun at lower concentration of PAH. Flow simulations of the electrically charged polymer solutions were carried out to observe the changes in the solution flow rate and Taylor cone shape. Increased flow rate and changes in the Taylor cone shape with the increasing PAH concentration in low molecular weight polymer were observed.

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“…Non-contact methods such as holography, speckle [1,2], Moiré interferometry [3], and digital image analysis [4][5][6][7][8][9][10][11][12][13][14][15] are proposed for the evaluation of strain dis-Corresponding author, jovita.dargiene@stud.ktu.lt tribution. With different techniques and equipments it is possible to record real-time strain distribution fields.…”

Section: Introductionmentioning

confidence: 99%

Image-based method for the investigation of low flexure rigidity materials

Dargienė¹,

Lukšaitė²,

Domskienė³

2012

Proc. Estonian Acad. Sci.

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The image analysis method is used for the evaluation of the mechanical behaviour of bias stretched woven material and determination of the zones and values of local deformations of the specimen. To demonstrate the capabilities and reliability of the proposed image analysis method, the simplest and most commonly used uniaxial tensile test was chosen. Using the acquired images, local deformations of the specimen in transverse and longitudinal directions were estimated and regularities of the variation of uniform defonnation zones were assessed.Comparison of the behaviour of materials shows that increase in bending rigidity changes the deformation character of materials. For non-laminated low flexure rigidity materials the formation of localized defonnation zones was estimated at primary stages of deformation, as in the case of stiffer laminated fabric the zones of uniform deformations spread more and do not concentrate within the centre of the specimen. The different nature and shape of local deformation zones indicate that the behaviour of laminated materials is closer to that of isotopic materials.The obtained results show that image analysis can describe the response of low flexure rigidity material to external forces. This method supplements the investigation process of woven materials, increases the accuracy of measurements, and determines the real-time local strains.

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Image-Processing in Textiles

Cited by 25 publications

References 264 publications

Woven fabric engineering by mathematical modeling and soft computing methods

Woven fabric engineering by mathematical modeling and soft computing methods

Role of Jet Path on Uniformity of Electrospun Nanofibers

Image-based method for the investigation of low flexure rigidity materials

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