Grading the crease recovery with twisting of fabric by using image identification technique

Grading the crease recovery with twisting of fabric by using image identification technique Traditionally, the grade of fabric’s crease recovery with twisting is decided by comparing the processed sample fabric with standard sample photograph under some conditions. This method is completely reliant on subjective appraisal, so it is easy to lead to some subjective error and affect the conclusion. In this paper, we use image processing and texture analysis technique to calculate a few of the parameters which describe the fabric’s crease recovery properties. At the same time, we use the Fuzzy priority similarity comparison method to assess the fabric’s crease recovery properties synthetically. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png International Journal of Clothing Science and Technology Emerald Publishing

Grading the crease recovery with twisting of fabric by using image identification technique

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Publisher
Emerald Publishing
Copyright
Copyright © 2000 MCB UP Ltd. All rights reserved.
ISSN
0955-6222
DOI
10.1108/09556220010324902
Publisher site
See Article on Publisher Site

Abstract

Traditionally, the grade of fabric’s crease recovery with twisting is decided by comparing the processed sample fabric with standard sample photograph under some conditions. This method is completely reliant on subjective appraisal, so it is easy to lead to some subjective error and affect the conclusion. In this paper, we use image processing and texture analysis technique to calculate a few of the parameters which describe the fabric’s crease recovery properties. At the same time, we use the Fuzzy priority similarity comparison method to assess the fabric’s crease recovery properties synthetically.

Journal

International Journal of Clothing Science and TechnologyEmerald Publishing

Published: May 1, 2000

Keywords: Twisting; Fabric; Image processing

References

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