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| File Information |
| Description |
SEG_FUZZY is a soft thresholding method for image segmentation. 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.
Method proposed in:
Santiago Aja-Fernández, Gonzalo Vegas-Sánchez-Ferrero, Miguel A. Martín Fernández, Soft thresholding for medical image segmentation, EMBC'2010, Buenos Aires, Sept. 2010. |
| Acknowledgements |
Elmat+ 2.2
inspired this file.
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| MATLAB release |
MATLAB 7 (R14)
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| Updates |
| 01 Jun 2012 |
Bug corrected for more than 5 maxima in smoothed histogram |
| 08 May 2013 |
Version 3: It admits 3D data and rgb images. It has no limit of number of output sets. Some minor bugs were corrected |
| 09 Jul 2013 |
A bug in shiftmat is corrected |
| 11 Jul 2013 |
Small change to correct a bug in 3D |
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