Rotation Invariant Texture Feature Based on Spatial Dependence Matrix for Timber Defect Detection

• Main Authors: Muda, A. K., Ummi Raba'ah, Hashim
• Format: Conference or Workshop Item
• Language: English
• Published: 2013
• Subjects: T Technology (General)
• Online Access: http://eprints.utem.edu.my/id/eprint/11928/1/ISDA13_Ummi.pdf; http://eprints.utem.edu.my/id/eprint/11928/
• Institution: Universiti Teknikal Malaysia Melaka

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.