A comparison of several artificial neural network classifiers for CT images of hardwood logs

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 3306, Issue , 1998, Pages 34-43

  Schmoldt, Daniel L ^a   He, Jing ^a   Lynn Abbott, A ^a  

^a VIRGINIA POLYTECHNIC INSTITUTE AND STATE UNIVERSITY   (United States)

Author keywords

Computed tomography; Image analysis; Industrial inspection; Lumber; Segmentation; Wood processing

Indexed keywords

DECAY (ORGANIC); HARDWOODS; IMAGE ANALYSIS; IMAGE SEGMENTATION; LUMBER; NEURAL NETWORKS; SAWMILLS;

WOOD PROCESSING;

COMPUTERIZED TOMOGRAPHY;

HARDWOODS; IMAGE ANALYSIS; LOGS; LUMBER; NEURAL NETWORKS; SAW MILLS; WOOD DECAY;

EID: 0032390730     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.301243     Document Type: Conference Paper

References (31)

1. Computer integrated manufacturing issues related to the hardwood log sawmill
2. Increased lumber value from optimum orientation of internal defects with respect to sawing pattern in hardwood sawlogs
3. A simulation model for log yield study
4. Benefits of internal log scanning
5. Potential benefits of internal-log scanning
6. The development of a log scanner for sawmills in Canada
7. Industrial methods for internal scanning of log defects: A progress report on an ongoing project in Norway
8. Potential applications of medical imaging techniques to wood products
9. A wood densitometer using direct scanning with x-rays
10. Computed tomography measurements on wood
11. Benefits from knowing the interior of the log
12. Log scanning - Extraction of knot geometry
13. Methodology for locating defects within hardwood logs and determining their impact on lumber-value yield
14. Tomographic image analysis
15. The economic potential of CT scanners for hardwood sawmills
16. Medical CAT-scanning: X-ray absorption coefficients, CT-numbers and their relation to wood density
17. Computed tomography for measuring the annual rings of alive tree
18. High speed CT scanning of logs
19. CT imaging, data reduction, and visualization of hardwood logs
20. Locating knots by industrial tomography - A feasibility study
21. Automated feature extraction of wood from tomographic images
22. CT image sequence processing for wood defect recognition
23. Detection of internal log defects by automatic interpretation of computer tomography images
24. CT image sequence analysis for object recognition - A rule-based 3-d computer vision system
25. A computer vision system for locating and identifying internal log defects using CT imagery
26. Automated analysis of CT images for the inspection of hardwood logs
27. Machine vision using artificial neural networks and 3D pixel neighborhoods
28. A threshold selection method from gray-level histograms