IMAGE RECONSTRUCTION AND OBJECT CLASSIFICATION IN CT IMAGING SYSTEM

Zhang Xiaoming，

Jiang Dazhen，

Lu Songlin

Nuclear Science and Techniques

Vol.6, No.2

pp.108-112

Published in print 01 May 1995

32600

By obtaining a feasible filter function, reconstructed images can be got with linear interpolation and filtered backprojection techniques. Considering the gray and spatial correlation neighbour informations of each pixel, a new supervised classification method is put forward for the reconstructed images, and an experiment with noise image is done, the result shows that the method is feasible and accurate compared with ideal phantoms.

Filter functionBackprojectionImage reconstructionFuzzy clusteringObject classification

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