Soft thresholding for medical image segmentation

被引:8
作者
Aja-Fernandez, Santiago [1 ]
Vegas-Sanchez-Ferrero, Gonzalo [1 ]
Martin Fernandez, Miguel A. [1 ]
机构
[1] Univ Valladolid, LPI, ETSI Telecomunicac, E-47002 Valladolid, Spain
来源
2010 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC) | 2010年
关键词
ALGORITHM; SYSTEMS; DESIGN;
D O I
10.1109/IEMBS.2010.5626376
中图分类号
R318 [生物医学工程];
学科分类号
100103 [病原生物学];
摘要
A new soft thresholding method is presented. The method is based on relating each pixel in the image to the different regions via a membership function, rather than through hard decisions. The membership function of each of the regions is derived from the histogram of the image. As a consequence, each pixel will belong to different regions with a different level of membership. This feature is exploited through spatial processing to make the thresholding robust to noisy environments.
引用
收藏
页码:4752 / 4755
页数:4
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