DocumentCode
1393689
Title
Binary restoration of thin objects in multidimensional imagery
Author
Boyd, Jeffrey E. ; Meloche, Jean
Author_Institution
Dept. of Electr. & Comput. Eng., California Univ., San Diego, La Jolla, CA, USA
Volume
20
Issue
6
fYear
1998
fDate
6/1/1998 12:00:00 AM
Firstpage
647
Lastpage
651
Abstract
We present a method for restoration of noisy tomographic images for detecting thin objects, such as explosives. Use of a weighted mean-square estimate optimizes the solution to place emphasis on the infrequent, but significant local structure associated with thin objects. Experimental results show successful restoration at very high noise levels
Keywords
image restoration; noise; optimisation; tomography; binary restoration; explosives; local structure; multidimensional imagery; noise; noisy tomographic image restoration; optimization; thin objects; weighted mean-square estimate; Explosives; Image restoration; Inspection; Low pass filters; Multidimensional systems; Noise level; Nonlinear filters; Object detection; Smoothing methods; Tomography;
fLanguage
English
Journal_Title
Pattern Analysis and Machine Intelligence, IEEE Transactions on
Publisher
ieee
ISSN
0162-8828
Type
jour
DOI
10.1109/34.683781
Filename
683781
Link To Document