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