Skip to Main Content
3-D Signal Processing in a Computer Vision SystemAuthor(s): Dongping Zhu; Richard W. Conners; Philip A. Araman
Source: Proceedings, IEEE International Conference on Systems Engineering. pp. 457-460.
Publication Series: Miscellaneous Publication
PDF: View PDF (121 KB)
DescriptionThis paper discusses the problem of 3-dimensional image filtering in a computer vision system that would locate and identify internal structural failure. In particular, a 2-dimensional adaptive filter proposed by Unser has been extended to 3-dimension. In conjunction with segmentation and labeling, the new filter has been used in the computer vision system to successfully detect potential wood defects.
- You may send email to email@example.com to request a hard copy of this publication.
- (Please specify exactly which publication you are requesting and your mailing address.)
- We recommend that you also print this page and attach it to the printout of the article, to retain the full citation information.
- This article was written and prepared by U.S. Government employees on official time, and is therefore in the public domain.
CitationZhu, Dongping; Conners, Richard W.; Araman, Philip A. 1991. 3-D Signal Processing in a Computer Vision System. Proceedings, IEEE International Conference on Systems Engineering. pp. 457-460.
- CT Image Sequence Processing For Wood Defect Recognition
- CT Image Sequence Analysis for Object Recognition - A Rule-Based 3-D Computer Vision System
- A Computer Vision System forLocating and Identifying Internal Log Defects Using CT Imagery
XML: View XML