Binary Restoration of Thin Objects in Multidimensional Imagery

Authors:
Jeffrey E. Boyd;Jean Meloche
Affiliations:
Univ. of California, San Diego, La Jolla;Univ. of British Columbia, Vancouver, B.C., Canada
Venue:
IEEE Transactions on Pattern Analysis and Machine Intelligence
Year:
1998

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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.