Automated visual inspection system for wood defect classification using computational intelligence techniques

Keyphrases

• Automated Visual Inspection System 100%
• Classification Module 60%
• Classification Support 20%
• Clear Wood 20%
• Computational Intelligence Techniques 100%
• Correct Classification 20%
• Defect Category 20%
• Feature Extraction Module 40%
• Fuzzy Min-max Neural Network 60%
• Grow Box 20%
• Image Segmentation 40%
• Image Segmentation Method 20%
• Multilayer Perceptron Neural Network (MLPNN) 20%
• One-class Support Vector Machine (OCSVM) 20%
• Pairwise Classification 20%
• Rectangle 20%
• Seed pixel 20%
• Support Vector Machine 20%
• Texture Information 20%
• Wood Defect Classification 100%
• Wood Images 20%
• Wood-based Boards 40%

INIS

• classification 100%
• comparative evaluations 14%
• cost 42%
• defects 100%
• extraction 28%
• fuzzy logic 42%
• images 71%
• information 14%
• inspection 100%
• layers 14%
• neural networks 57%
• performance 14%
• texture 14%
• vectors 28%
• wood 100%

Computer Science

• Artificial Intelligence 100%
• Feature Extraction 40%
• Image Segmentation 60%
• Inspection System 100%
• Multilayer Perceptron 20%
• Neural Network 80%
• Pairwise Classification 20%
• Segmentation Method 20%
• Support Vector Machine 40%
• Texture Information 20%
• Visual Inspection 100%