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Proceedings Paper

Comparison of a dyadic wavelet image enhancement algorithm with unsharp masking and median filtering for mammography
Author(s): Yunong Xing; Walter Huda; Andrew F. Laine; Jian Fan; Barbara G. Steinbach; Janice C. Honeyman-Buck
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Paper Abstract

Image processing techniques using wavelet signal analysis techniques have shown promise in mammography. Wavelet algorithms are compared with traditional image enhancement techniques of unsharp masking and median filtering. Computer simulated phantom images were generated containing lesions mimicking masses and microcalcifications. The degree of image enhancement was evaluated by comparing processed and original signal-to-noise (SNR) ratios in such phantom images. Results obtained in this study suggest that image processing algorithms based on the wavelet transform are likely to enhance the visibility of low-contrast features in mammograms.

Paper Details

Date Published: 12 May 1995
PDF: 12 pages
Proc. SPIE 2434, Medical Imaging 1995: Image Processing, (12 May 1995); doi: 10.1117/12.208745
Show Author Affiliations
Yunong Xing, Univ. of Florida (United States)
Walter Huda, Univ. of Florida (United States)
Andrew F. Laine, Univ. of Florida (United States)
Jian Fan, Univ. of Florida (United States)
Barbara G. Steinbach, Univ. of Florida (United States)
Janice C. Honeyman-Buck, Univ. of Florida (United States)

Published in SPIE Proceedings Vol. 2434:
Medical Imaging 1995: Image Processing
Murray H. Loew, Editor(s)

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