DocumentCode :
783072
Title :
Texture measures for carpet wear assessment
Author :
Siew, Lee Hok ; Hodgson, R.M. ; Wood, Errol J.
Author_Institution :
Dept. of Electr. & Electron Eng., Canterbury Univ., Christchurch, New Zealand
Volume :
10
Issue :
1
fYear :
1988
fDate :
1/1/1988 12:00:00 AM
Firstpage :
92
Lastpage :
105
Abstract :
Two standard approaches for texture analysis make use of numerical features of the second-order gray-level statistics, and on first-order statistics of gray-level differences, respectively. Feature sets of these types, all designed analogously, were used to analyze four sets of carpet samples exposed to different degrees of wear. It was found that some of the features extracted from the spatial gray-level-dependence matrix, neighboring gray-level-dependence matrix, gray-level difference method, and the gray-level run-length method allowed discrimination of degrees of wear in wool carpet. The methods developed could be of use in quality control
Keywords :
computer vision; computerised pattern recognition; textile industry; wear; carpet wear assessment; computer vision; feature extraction; first-order statistics; gray-level differences; gray-level run-length method; neighboring gray-level-dependence matrix; quality control; second-order gray-level statistics; spatial gray-level-dependence matrix; texture analysis; wool carpet; Current measurement; Feature extraction; Helium; Image color analysis; Image texture analysis; Probability; Quality control; Statistical analysis; Testing; Wool;
fLanguage :
English
Journal_Title :
Pattern Analysis and Machine Intelligence, IEEE Transactions on
Publisher :
ieee
ISSN :
0162-8828
Type :
jour
DOI :
10.1109/34.3870
Filename :
3870
Link To Document :
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