Measuring Fiber Orientation in Nonwovens Part IV: Flow Field Analysis

Pourdeyhimi, Behnam; Dent, R. W.

doi:10.1177/004051759706700304

Cited by 50 publications

(30 citation statements)

References 5 publications

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“…In the last few years, image analysis methods have been developed in order to identify fibers and measure nonwoven characteristics such as fiber orientation [9][10][11][12][13][14][15][16], fiber diameter [17,18], pore size [19], [20], uniformity [21] and other structural features [15,22]. However, since these are new techniques and their accuracy and limitations have not been verified, samples with known characteristics are required to evaluate the accuracy of the methods which can be produced by simulation schemes [9,23].…”

Section: Introductionmentioning

confidence: 99%

Distance transform algorithm for measuring nanofiber diameter

Ziabari

Mottaghitalab

Haghi

2008

Korean J. Chem. Eng.

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This paper describes a new distance transform method used for measuring fiber diameter in electrospun nanofiber webs. In this algorithm, the effect of intersection is eliminated, which brings more accuracy to the measurement. The method is tested by a series of simulated images with known characteristics as well as some real webs obtained from electrospinning of PVA. Our method is compared with the distance transform method. The results obtained by our method were significantly better than the distance transform, indicating that the new method could successfully be used to measure electrospun fiber diameter.

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Section: Introductionmentioning

confidence: 99%

Distance transform algorithm for measuring nanofiber diameter

Ziabari

Mottaghitalab

Haghi

2008

Korean J. Chem. Eng.

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“…In recent years, image analyzing method to measure these properties such as: fiber orientation, uniformity, diameter and Nano fiber pore web measurement have been developed. Pourdeyhimi et al [17,18] studied orientation in fibers; they also considered necessary the suitable selection of threshold to segment fibers for the background. Fiber uniformity is one of the Nano fiber properties which were investigated by Chhabra et al [19].…”

Section: Fig 1: Micrographs Of the Electrospun Nano Fiber Websmentioning

confidence: 99%

Nano Fiber Images Thresholding based on Imperial Competitive Algorithm

Dehghan¹,

Payvandy²,

Tavanaei³

2014

IJCA

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Nano fibers are widely used in various industries, therefor knowing the morphology is important. Thresholding is a simple but effective technique for image segmentation. The goal of image segmentation is to cluster pixels into salient image regions, i.e., regions corresponding to individual surfaces, objects, or natural parts of objects. In this paper a novel method is proposed for performing image segmentation. The purpose of this paper proposed an imperial competitive algorithm with the objective function from Kmeans clustering algorithm for Nano fibers image thresholding. Then algorithm used, with the algorithms such as: global threshold, local threshold, Kmeans clustering algorithm and FCM methods were compared. Finally, a powerful algorithm for image thresholding is found. The comparisons and experimental results show that purposed algorithm is better than other methods particularly global and local thresholding, Kmeans and even FCM. General TermsHeuristic Algorithm, Thresholding Method.

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“…It is well known that the distribution of structural characteristics such as fiber orientation [8][9][10][11][12][13], fiber diameter [14,15], pore size [16], uniformity [17] and other structural characteristics [15] are very important when determining the properties of nonwoven textiles. The properties of electrospun nonwoven webs are determined by the above-mentioned features as well.…”

Section: Introductionmentioning

confidence: 99%

Simulated image of electrospun nonwoven web of PVA and corresponding nanofiber diameter distribution

Ziabari

Mottaghitalab

Haghi

2008

Korean J. Chem. Eng.

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Fiber diameter is the most important characteristic in electrospun nonwoven webs. Understanding how it is influenced by the electrospinning parameters is essential to produce webs with desired characteristics. In this contribution, Direct Tracking method for measuring electrospun fiber diameter is described. To evaluate the accuracy of the technique, a simulation algorithm for generating webs with known characteristics was employed. To verify the applicability of the method on real samples, an electrospun polyvinyl alcohol (PVA) mat, as a representative of real webs, was used. Since the Direct Tracking method uses a binary image as its input, local thresholding was applied to segment the SEM micrograph of the electrospun web. The results indicate that the method could be used successfully for determining fiber diameter in electrospun nonwoven webs.

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Measuring Fiber Orientation in Nonwovens Part IV: Flow Field Analysis

Cited by 50 publications

References 5 publications

Distance transform algorithm for measuring nanofiber diameter

Distance transform algorithm for measuring nanofiber diameter

Nano Fiber Images Thresholding based on Imperial Competitive Algorithm

Simulated image of electrospun nonwoven web of PVA and corresponding nanofiber diameter distribution

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