Muda, A. K. and Ummi Raba'ah, Hashim (2013) Rotation Invariant Texture Feature Based on Spatial Dependence Matrix for Timber Defect Detection. In: ISDA 2013, Dec. 8-10, 2013, UPM, Malaysia.
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Abstract
This paper addresses the issue of extracting textural feature for timber defect detection. Statistical features based on spatial dependence matrix are extracted for both classes; clear wood and defect. Instead of using the classical directional matrices, rotation invariant spatial dependence matrix formulation is applied to ensure accurate detection regardless of the timber feed direction. Hotelling T-Squared test is used to measure significance difference of mean between feature distributions of the two classes. The result will give some indication to whether the features extracted are sufficient/good enough to be used in future classification stage.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Subjects: | T Technology > T Technology (General) |
| Divisions: | Faculty of Information and Communication Technology > Department of Software Engineeering |
| Depositing User: | Azah Kamilah Muda |
| Date Deposited: | 25 Mar 2014 08:11 |
| Last Modified: | 28 May 2015 04:21 |
| URI: | http://eprints.utem.edu.my/id/eprint/11928 |
| Statistic Details: | View Download Statistic |
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