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Proceedings Paper

Comparison of mammogram images using different quantization methods
Author(s): E. T. Y. Chen; James Lee; Alan C. Nelson
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Paper Abstract

Special devices with higher quantization resolution are needed to display or process most medical images. In this paper, we compare three different quantization approaches for mammogram images in order to process them in 8 bits/pixel resolution. Since microcalcification is one of the most important indications of risk of breast cancer, a simple shift operation (uniform quantization) cannot retain this vital information. Quantization based on the local histogram will give better results but at the price of more computation.

Paper Details

Date Published: 29 July 1993
PDF: 7 pages
Proc. SPIE 1905, Biomedical Image Processing and Biomedical Visualization, (29 July 1993); doi: 10.1117/12.148661
Show Author Affiliations
E. T. Y. Chen, Univ. of Washington (United States)
James Lee, Univ. of Washington (United States)
Alan C. Nelson, NeoPath Inc. (United States)


Published in SPIE Proceedings Vol. 1905:
Biomedical Image Processing and Biomedical Visualization
Raj S. Acharya; Dmitry B. Goldgof, Editor(s)

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