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Proceedings Paper

A New Stochastic Model-Based Image Segmentation Technique For X-Ray CT Image
Author(s): Tianhu Lei; Wilfred Sewchand
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Paper Abstract

This manuscript demonstrates that X-ray CT image can be modeled by a finite normal mixture. The number of image classes in the observed image is detected by the information criteria (AIC or MDL). Parameters of the model are estimated by a modified K-mean algorithm and Bayesian decision criterion is the basis for this image segmentation approach. The use of simulated and real image data demonstrate the very promising results of this proposed technique.

Paper Details

Date Published: 25 October 1988
PDF: 9 pages
Proc. SPIE 1001, Visual Communications and Image Processing '88: Third in a Series, (25 October 1988); doi: 10.1117/12.968960
Show Author Affiliations
Tianhu Lei, University of Maryland (United States)
Wilfred Sewchand, University of Maryland (United States)


Published in SPIE Proceedings Vol. 1001:
Visual Communications and Image Processing '88: Third in a Series
T. Russell Hsing, Editor(s)

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