Mammographic images enhancement and denoising for microcalcification detection using dyadic wavelet processing

被引：1
|
作者：
Mencattini, A. [1 ]
Salmeri, M. [1 ]
Lojacono, R. [1 ]
Caselli, F. [2 ]
机构：
[1] Univ Roma Tor Vergata, Dept Elect Engn, Via Politecn 1, I-00133 Rome, Italy
[2] Univ Roma Tor Vergata, Dept Civil Engn, I-00133 Rome, Italy
来源：
2006 IEEE INSTRUMENTATION AND MEASUREMENT TECHNOLOGY CONFERENCE PROCEEDINGS, VOLS 1-5 | 2006年
关键词：
image enhancement and denoising; dyadic wavelet transform; microcalcification detection;
D O I：
10.1109/IMTC.2006.328171
中图分类号：
TH7 [仪器、仪表];
学科分类号：
0804 ; 080401 ; 081102 ;
摘要：
Mammography is the most effective method for early detection of breast diseases. However the typical diagnostic signs, such as masses and microcalcifications, are difficult to be detected because mammograms are low contrast and noisy images. In this paper, we present an algorithm for mammographic images enhancement and denoising based on the wavelet transform. In particular, We develop an adaptive procedure to perform an optimal denoising using a local iterative fuzzy. noise variance estimation. Moreover the degree of enhancement is adaptively tuned at each scale. The proposed algorithm has been tested on clinical images.
引用
收藏
页码：49 / +
页数：2
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