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Proceedings Paper

Automatic recognition of image contents using textural information and a synergetic classifier
Author(s): Frank Weiler; Frank Vogelsang; Markus W. Kilbinger; Berthold B. Wein; Rolf W. Guenther
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Paper Abstract

We describe a method to automatically detect which kind of x-ray a given image is. Based on a feature space which represents the textural information of the image, using second order statistics, a synergetic classifier is used. The synergetic classifier is especially studied for high dimensional feature spaces and has the advantage of nearly automatic parameterization. Within a test suite consisting of numerous example images the practicability of the method is demonstrated.

Paper Details

Date Published: 25 April 1997
PDF: 5 pages
Proc. SPIE 3034, Medical Imaging 1997: Image Processing, (25 April 1997); doi: 10.1117/12.274187
Show Author Affiliations
Frank Weiler, Technische Univ. Aachen (Germany)
Frank Vogelsang, Technische Univ. Aachen (Germany)
Markus W. Kilbinger, Technische Univ. Aachen (Germany)
Berthold B. Wein, Technische Univ. Aachen (Germany)
Rolf W. Guenther, Technische Univ. Aachen (Germany)


Published in SPIE Proceedings Vol. 3034:
Medical Imaging 1997: Image Processing
Kenneth M. Hanson, Editor(s)

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