Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/11770
Title: Intelligent characterization and evaluation of yarn surface appearance using saliency map analysis, wavelet transform and fuzzy ARTMAP neural network
Authors: Liang, Z
Xu, B
Chi, Z 
Feng, D
Keywords: Fuzzy ARTMAP neural network
Saliency map
Wavelet transform
Yarn evaluation
Yarn grading
Issue Date: 2012
Publisher: Pergamon Press
Source: Expert systems with applications, 2012, v. 39, no. 4, p. 4201-4212 How to cite?
Journal: Expert systems with applications 
Abstract: The evaluation of yarn surface appearance is an important routine in assessing yarn quality in textile industry. Traditionally, this evaluation is subjectively carried out by manual inspection, which is much skill-oriented, judgmental and inconsistent. To resolve the drawbacks of the manual method, an integrated intelligent characterization and evaluation model is proposed in this paper for the evaluation of yarn surface appearance. In the proposed model, attention-driven fault detection, wavelet texture analysis and statistical measurement are developed and incorporated to fully extract the characteristic features of yarn surface appearance from images and a fuzzy ARTMAP neural network is employed to classify and grade yarn surface qualities based on the extracted features. Experimental results on a database of 576 yarn images show the proposed intelligent evaluation system achieves a satisfactory performance both for the individual yarn category and global yarn database. In addition, a comparative study among the fuzzy ARTMAP, Back-Propagation (BP) neural network, and Support Vector Machine (SVM) shows the superior capacity of the proposed fuzzy ARTMAP in classifying yarn surface qualities of the database.
URI: http://hdl.handle.net/10397/11770
ISSN: 0957-4174
EISSN: 1873-6793
DOI: 10.1016/j.eswa.2011.09.114
Appears in Collections:Journal/Magazine Article

Access
View full-text via PolyU eLinks SFX Query
Show full item record

SCOPUSTM   
Citations

19
Last Week
0
Last month
2
Citations as of Aug 18, 2017

WEB OF SCIENCETM
Citations

15
Last Week
0
Last month
1
Citations as of Aug 21, 2017

Page view(s)

37
Last Week
0
Last month
Checked on Aug 20, 2017

Google ScholarTM

Check

Altmetric



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.