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Binary restoration of thin objects in multidimensional imagery

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

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:

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