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Proceedings Paper

Multiresolution unsharp masking technique for mammogram image enhancement
Author(s): Fleming Yuan Ming Lure; Paul W. Jones; Roger S. Gaborski
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Paper Abstract

A multi-resolution unsharp masking (USM) technique is developed for image feature enhancement in digital mammogram images. This technique includes four processing phases: (1) determination of parameters of multi-resolution analysis (MRA) based on the properties of images; (2) multi-resolution decomposition of original images into sub-band images via wavelet transformation with perfect reconstruction filters; (3) modification of sub-band images with adaptive unsharp masking technique; and (4) reconstruction of image from modified sub- band images via inverse wavelet transformation. An adaptive unsharp masking technique is applied to the sub-band images in order to modify the pixel values based on the edge components at various frequency scales. Smoothing and gain factor parameters, employed in the unsharp masking, are determined according to the resolution, frequency, and energy content of the sub-band images. Experimental results show that this technique is able to enhance the contrast of region of interest (microcalcification clusters) in mammogram image.

Paper Details

Date Published: 16 April 1996
PDF: 10 pages
Proc. SPIE 2710, Medical Imaging 1996: Image Processing, (16 April 1996); doi: 10.1117/12.237989
Show Author Affiliations
Fleming Yuan Ming Lure, Eastman Kodak Co. (United States)
Paul W. Jones, Eastman Kodak Co. (United States)
Roger S. Gaborski, Eastman Kodak Co. (United States)


Published in SPIE Proceedings Vol. 2710:
Medical Imaging 1996: Image Processing
Murray H. Loew; Kenneth M. Hanson, Editor(s)

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