| dc.contributor.author |
Bhandarkar, SM |
en |
| dc.contributor.author |
Luo, X |
en |
| dc.contributor.author |
Daniels, R |
en |
| dc.contributor.author |
Tollner, EW |
en |
| dc.date.accessioned |
2014-06-06T06:46:44Z |
|
| dc.date.available |
2014-06-06T06:46:44Z |
|
| dc.date.issued |
2006 |
en |
| dc.identifier.issn |
14337541 |
en |
| dc.identifier.uri |
http://dx.doi.org/10.1007/s10044-006-0035-9 |
en |
| dc.identifier.uri |
http://62.217.125.90/xmlui/handle/123456789/3170 |
|
| dc.subject |
Automated lumber production |
en |
| dc.subject |
Computer tomography |
en |
| dc.subject |
Feature-based tracking |
en |
| dc.subject |
Internal defect detection |
en |
| dc.subject |
Kalman filter |
en |
| dc.subject |
Nondestructive evaluation |
en |
| dc.title |
A novel feature-based tracking approach to the detection, localization, and 3-D reconstruction of internal defects in hardwood logs using computer tomography |
en |
| heal.type |
journalArticle |
en |
| heal.identifier.primary |
10.1007/s10044-006-0035-9 |
en |
| heal.publicationDate |
2006 |
en |
| heal.abstract |
A novel feature-based tracking approach based on the Kalman filter is proposed for the detection, localization, and 3-D reconstruction of internal defects in hardwood logs from cross-sectional computer tomography (CT) images. The defects are simultaneously detected, classified, localized, and reconstructed in 3-D space, making the proposed scheme computationally much more efficient than existing methods where the defects are detected and localized independently in individual CT image slices and the 3-D reconstruction of the defects accomplished via correspondence analysis across the various CT image slices. Robust techniques for defect detection and classification are proposed. Defect class-specific tracking schemes based on the Kalman filter, B-spline contour approximation, and Snakes contour fitting are designed which use the geometric parameters of the defect contours as the tracking variables. Experimental results on cross-sectional CT images of hardwood logs from select species such as white ash, hard maple, and red oak are presented. © Springer-Verlag London Limited 2006. |
en |
| heal.journalName |
Pattern Analysis and Applications |
en |
| dc.identifier.issue |
2-3 |
en |
| dc.identifier.volume |
9 |
en |
| dc.identifier.doi |
10.1007/s10044-006-0035-9 |
en |
| dc.identifier.spage |
155 |
en |
| dc.identifier.epage |
175 |
en |