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
fDate :
6/1/1998 12:00:00 AM
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;
Journal_Title :
Pattern Analysis and Machine Intelligence, IEEE Transactions on
