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Proceedings Paper

Image information compression in the image recognition process: medical example
Author(s): Jacek Galas
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Paper Abstract

The effectiveness of image recognition methods is strongly dependent on the process of intelligent image information compression. This paper presents the Radon-Fourier transformation as a tool for this task. It is shown that only two slices of Radon-Fourier transformation are sufficient to classify the set of medical images. Some classification results for one transformation slice are presented. These results are compared with full 2D Fourier transformation processing.

Paper Details

Date Published: 22 August 1995
PDF: 10 pages
Proc. SPIE 2564, Applications of Digital Image Processing XVIII, (22 August 1995); doi: 10.1117/12.217445
Show Author Affiliations
Jacek Galas, Institute of Applied Optics (Poland)


Published in SPIE Proceedings Vol. 2564:
Applications of Digital Image Processing XVIII
Andrew G. Tescher, Editor(s)

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