1 December 2004 Content-based compression of mammograms with fractal-based segmentation and a modified JPEG2000
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Optical Engineering, 43(12), (2004). doi:10.1117/1.1810529
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.
Hung Yam Chan, Hamed Sari-Sarraf, Bradley Grinstead, Shaun S. Gleason, "Content-based compression of mammograms with fractal-based segmentation and a modified JPEG2000," Optical Engineering 43(12), (1 December 2004). http://dx.doi.org/10.1117/1.1810529
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KEYWORDS
Mammography

JPEG2000

Chromium

Image compression

Image segmentation

Computer programming

Discrete wavelet transforms

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