Image information compression in the image recognition process: medical example

Jacek Galas

doi:10.1117/12.217445

22 August 1995 Image information compression in the image recognition process: medical example

Jacek Galas

Author Affiliations +

Proceedings Volume 2564, Applications of Digital Image Processing XVIII; (1995) https://doi.org/10.1117/12.217445
Event: SPIE's 1995 International Symposium on Optical Science, Engineering, and Instrumentation, 1995, San Diego, CA, United States

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.

Citation Download Citation

Jacek Galas "Image information compression in the image recognition process: medical example", Proc. SPIE 2564, Applications of Digital Image Processing XVIII, (22 August 1995); https://doi.org/10.1117/12.217445

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