BINARY RESTORATION OF THIN OBJECTS IN MULTIDIMENSIONAL IMAGERY

Authors
BOYD JE MELOCHE J
Citation
Je. Boyd et J. Meloche, BINARY RESTORATION OF THIN OBJECTS IN MULTIDIMENSIONAL IMAGERY, IEEE transactions on pattern analysis and machine intelligence, 20(6), 1998, pp. 647-651
Citations number
19
Categorie Soggetti
Computer Science Artificial Intelligence","Computer Science Artificial Intelligence","Engineering, Eletrical & Electronic
Journal title
IEEE transactions on pattern analysis and machine intelligence → ACNP
ISSN journal
01628828
Volume
20
Issue
6
Year of publication
1998
Pages
647 - 651
Database
ISI
SICI code
0162-8828(1998)20:6<647:BROTOI>2.0.ZU;2-W
Abstract
We present a method for restoration of noisy tomographic images for de tecting thin objects, such as explosives. Use of a weighted mean-squar e estimate optimizes the solution to place emphasis on the infrequent, but significant local structure associated with thin objects. Experim ental results show successful restoration at very high noise levels.