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Reviewing, selecting and evaluating features in distinguishing fine changes of global texture

Benhur Ortiz Jaramillo UGent, Sergio Alejandro Orjuela Vargas UGent, Lieva Van Langenhove UGent, Cesar German Castellanos Dominguez and Wilfried Philips UGent (2013) PATTERN ANALYSIS AND APPLICATIONS. 17(1). p.1-15
abstract
The evaluation of appearance parameters is critical for quality assurance purposes when determining lifetime and/or beauty of textile products. Practical evaluations of appearance are often performed by human visual inspection, which is repetitive, exhausting, unreliable and costly. Thus, computerized automatic visual inspection has been used to alleviate those problems. Several papers have proposed objective mechanisms for quality inspection mostly using texture analysis approaches which are often not robust enough. One of the main issues for robustness of texture analysis approaches is the capability of distinguishing between similar textures. In this paper, we review, select and evaluate texture analysis approaches for distinguishing fine changes of global texture in degradation of textile floor coverings. As a result, we found that the power spectrum, local binary patterns, the texture spectrum, Gaussian Markov random fields, autoregressive models and the pseudo-Wigner distribution provide good descriptors for measuring fine changes of global texture. That is, those features can be used as starting point in applications involving fine changes of global texture, as well as a basis for the development of new methods.
Please use this url to cite or link to this publication:
author
organization
year
type
journalArticle (original)
publication status
published
subject
keyword
FABRICS, CARPET APPEARANCE LOSS, Appearance retention in floor coverings, RETRIEVAL, Fine changes of global texture, Multiple regression analysis, Quality inspection  Texture analysis, CLASSIFICATION, SURFACE-ROUGHNESS, WIGNER DISTRIBUTION, INSTRUMENTAL TECHNIQUES, IMAGE-ANALYSIS, MARKOV RANDOM-FIELDS, Appearance retention in textiles, SEGMENTATION
journal title
PATTERN ANALYSIS AND APPLICATIONS
PAA
editor
Sameer Singh, Michal Wozniak and David G. Stork
volume
17
issue
1
pages
1 - 15
Web of Science type
Article
Web of Science id
000330839400001
JCR category
COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
JCR impact factor
0.742 (2013)
JCR rank
88/121 (2013)
JCR quartile
3 (2013)
ISSN
1433-7541
DOI
10.1007/s10044-013-0352-8
project
WearTex project 2010-2011
language
English
UGent publication?
yes
classification
A1
copyright statement
I have transferred the copyright for this publication to the publisher
id
4178220
handle
http://hdl.handle.net/1854/LU-4178220
date created
2013-11-04 15:17:35
date last changed
2017-03-09 12:18:28
@article{4178220,
  abstract     = {The evaluation of appearance parameters is critical for quality assurance purposes when determining lifetime and/or beauty of textile products. Practical evaluations of appearance are often performed by human visual inspection, which is repetitive, exhausting, unreliable and costly. Thus, computerized automatic visual inspection has been used to alleviate those problems. Several papers have proposed objective mechanisms for quality inspection mostly using texture analysis approaches which are often not robust enough. One of the main issues for robustness of texture analysis approaches is the capability of distinguishing between similar textures. In this paper, we review, select and evaluate texture analysis approaches for distinguishing fine changes of global texture in degradation of textile floor coverings. As a result, we found that the power spectrum, local binary patterns, the texture spectrum, Gaussian Markov random fields, autoregressive models and the pseudo-Wigner distribution provide good descriptors for measuring fine changes of global texture. That is, those features can be used as starting point in applications involving fine changes of global texture, as well as a basis for the development of new methods.},
  author       = {Ortiz Jaramillo, Benhur and Orjuela Vargas, Sergio Alejandro and Van Langenhove, Lieva and Castellanos Dominguez, Cesar German and Philips, Wilfried},
  editor       = {Singh, Sameer and Wozniak, Michal and Stork, David G. },
  issn         = {1433-7541},
  journal      = {PATTERN ANALYSIS AND APPLICATIONS},
  keyword      = {FABRICS,CARPET APPEARANCE LOSS,Appearance retention in floor coverings,RETRIEVAL,Fine changes of global texture,Multiple regression analysis,Quality inspection \unmatched{0002} Texture analysis,CLASSIFICATION,SURFACE-ROUGHNESS,WIGNER DISTRIBUTION,INSTRUMENTAL TECHNIQUES,IMAGE-ANALYSIS,MARKOV RANDOM-FIELDS,Appearance retention in textiles,SEGMENTATION},
  language     = {eng},
  number       = {1},
  pages        = {1--15},
  title        = {Reviewing, selecting and evaluating features in distinguishing fine changes of global texture},
  url          = {http://dx.doi.org/10.1007/s10044-013-0352-8},
  volume       = {17},
  year         = {2013},
}

Chicago
Ortiz Jaramillo, Benhur, Sergio Alejandro Orjuela Vargas, Lieva Van Langenhove, Cesar German Castellanos Dominguez, and Wilfried Philips. 2013. “Reviewing, Selecting and Evaluating Features in Distinguishing Fine Changes of Global Texture.” Ed. Sameer Singh, Michal Wozniak, and David G. Stork. Pattern Analysis and Applications 17 (1): 1–15.
APA
Ortiz Jaramillo, B., Orjuela Vargas, S. A., Van Langenhove, L., Castellanos Dominguez, C. G., & Philips, W. (2013). Reviewing, selecting and evaluating features in distinguishing fine changes of global texture. (Sameer Singh, M. Wozniak, & D. G. Stork, Eds.)PATTERN ANALYSIS AND APPLICATIONS, 17(1), 1–15.
Vancouver
1.
Ortiz Jaramillo B, Orjuela Vargas SA, Van Langenhove L, Castellanos Dominguez CG, Philips W. Reviewing, selecting and evaluating features in distinguishing fine changes of global texture. Singh S, Wozniak M, Stork DG, editors. PATTERN ANALYSIS AND APPLICATIONS. 2013;17(1):1–15.
MLA
Ortiz Jaramillo, Benhur, Sergio Alejandro Orjuela Vargas, Lieva Van Langenhove, et al. “Reviewing, Selecting and Evaluating Features in Distinguishing Fine Changes of Global Texture.” Ed. Sameer Singh, Michal Wozniak, & David G. Stork. PATTERN ANALYSIS AND APPLICATIONS 17.1 (2013): 1–15. Print.