Determination of Knitted Fabric Porosity Using Digital Imaging Techniques

Joint Authors

Imrith, Manoj Kumar
Unmar, Roshan
Rosunee, Satyadev

Source

Advances in Materials Science and Engineering

Issue

Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-10, 10 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2016-10-26

Country of Publication

Egypt

No. of Pages

10

Abstract EN

This paper has investigated the porosity of knitted fabrics using digital imaging techniques.

A number of different methods have been proposed to determine the porosity of knitted fabrics, which include digital imaging, geometrical modeling, and air permeability.

Digital imaging is an adequate technique to determine the porosity of high-porosity fabrics.

In this work, eight types of knitted structures with eight different stitch lengths were produced on a flat-bed knitting machine.

Porosity was determined using digital imaging techniques based on the method of threshold and pixel count, using a computer program developed for this work.

The study consisted also of validating the results by including the data from two tested samples—from each set of knits throughout the use of regression equations which demonstrated that there is good correlation between the black mask and white mask images.

American Psychological Association (APA)

Imrith, Manoj Kumar& Unmar, Roshan& Rosunee, Satyadev. 2016. Determination of Knitted Fabric Porosity Using Digital Imaging Techniques. Advances in Materials Science and Engineering،Vol. 2016, no. 2016, pp.1-10.
https://search.emarefa.net/detail/BIM-1096288

Modern Language Association (MLA)

Imrith, Manoj Kumar…[et al.]. Determination of Knitted Fabric Porosity Using Digital Imaging Techniques. Advances in Materials Science and Engineering No. 2016 (2016), pp.1-10.
https://search.emarefa.net/detail/BIM-1096288

American Medical Association (AMA)

Imrith, Manoj Kumar& Unmar, Roshan& Rosunee, Satyadev. Determination of Knitted Fabric Porosity Using Digital Imaging Techniques. Advances in Materials Science and Engineering. 2016. Vol. 2016, no. 2016, pp.1-10.
https://search.emarefa.net/detail/BIM-1096288

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1096288