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