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Binary restoration of thin objects in multidimensional imagery

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2 Author(s)
Boyd, J.E. ; Dept. of Electr. & Comput. Eng., California Univ., San Diego, La Jolla, CA, USA ; Meloche, J.

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

Published in:

Pattern Analysis and Machine Intelligence, IEEE Transactions on  (Volume:20 ,  Issue: 6 )

Date of Publication:

Jun 1998

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