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Binary Restoration of Thin Objects in Multidimensional Imagery
June 1998 (vol. 20 no. 6)
pp. 647-651

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.

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Index Terms:
Binary restoration, image restoration, tomography, x-rays, statistical methods.
Citation:
Jeffrey E. Boyd, Jean Meloche, "Binary Restoration of Thin Objects in Multidimensional Imagery," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 20, no. 6, pp. 647-651, June 1998, doi:10.1109/34.683781
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