Soft thresholding for medical image segmentation

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, ea...

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Bibliographic Details
Published in:2010 Annual International Conference of the IEEE Engineering in Medicine and Biology 2010-01, p.4752-4755
Main Authors: Aja-Fernandez, S, Vegas-Sanchez-Ferrero, G, Martin Fernandez, Miguel A
Format: Article
Language:English
Subjects:
Biomedical imaging
Fuzzy sets
Histograms
Image segmentation
Noise measurement
Pixel
Ultrasonic imaging
Online Access:Request full text
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Summary: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.
ISSN:1094-687X
1558-4615
DOI:10.1109/IEMBS.2010.5626376