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Optical Engineering

Content-based compression of mammograms with fractal-based segmentation and a modified JPEG2000
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Paper Abstract

We describe a strategy for the content-based compression of mammograms. In this two-step strategy, the clinically important structures are first identified via a fractal-based segmentation method. Then, a modified version of JPEG2000 is applied in such a way that lossless compression is applied to the extracted structures from the first step, while a lossy compression is applied to the remaining regions. Preliminary results demonstrate that this strategy can achieve high compression ratios (up to 50:1) without compromising the diagnostic quality of the mammograms.

Paper Details

Date Published: 1 December 2004
PDF: 8 pages
Opt. Eng. 43(12) doi: 10.1117/1.1810529
Published in: Optical Engineering Volume 43, Issue 12
Show Author Affiliations
Hung Yam Chan, Texas Tech Univ. (United States)
Hamed Sari-Sarraf, Texas Tech Univ. (United States)
Bradley Grinstead, The Univ. of Tennessee/Knoxville (United States)
Shaun S. Gleason, Oak Ridge National Lab. (United States)

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