2010Bilbao MeanShift

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J.R. Bilbao-Castro, C.O.S. Sorzano, J.J. Fernández, I. García. XMSF: Structure-preserving noise reduction and pre-segmentation in microscope tomography. Bioinformatics, 26: 2786-2787 (2010)


Interpretation of electron tomograms is difficult due to the high noise levels. Thus, denoising techniques are needed to improve the signal-to-noise ratio. XMSF (Microscopy Mean Shift Filtering) is a fast, user-friendly application that succeeds in filtering noise while preserving the structures of interest. It is based on the extension to 3D of a method widely applied in other image processing fields under very different scenarios. XMSF has been tested for a variety of tomograms, showing a great potential to become a state-of-the-art filtering program in electron tomography. Applied iteratively, the algorithm yields pre-segmented volumes facilitating posterior segmentation tasks. Moreover, execution times remain low thanks to parallel computing techniques to exploit current multicore computers. AVAILABILITY: http://sites.google.com/site/xmsfilter/


Denoising, tomograms, tomographs



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