Soft thresholding for medical image segmentation

descriptionPublicationkeyboard_double_arrow_right Article 01 Aug 2010Publisher:IEEEJournal:2010 Annual International Conference of the IEEE Engineering in Medicine and Biology

Authors: Santiago, Aja-Fernandez; Gonzalo, Vegas-Sanchez-Ferrero; Miguel A, Martin Fernandez;

doi: 10.1109/iembs.2010.5626376

pmid: 21096020

Soft thresholding for medical image segmentation

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Abstract

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.

Related Organizations

University of Valladolid
Spain

Keywords

Artificial Intelligence, Image Interpretation, Computer-Assisted, Brain, Reproducibility of Results, Image Enhancement, Magnetic Resonance Imaging, Sensitivity and Specificity, Algorithms, Pattern Recognition, Automated

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