Curvature driven image denoising algorithm. Iso-brightness contours in the grayscale input image are viewed as a level set. The level set is then evolved using a curvature-based speed function.
In min/max curvature flow, movement is turned on or off depending on the scale of the noise one wants to remove. Switching depends on the average image value of a region, the stencil radius, governs the scale of the noise to be removed.
Type: Image4DFloat, Required, Single
Time Step Number
Set the timestep parameter.
Set the number of iterations.
Stencil Radius Integer
The scale of the noise to be removed.
- “Level Set Methods and Fast Marching Methods”, J.A.Sethian, Cambridge Press, Chapter 16, Second edition, 1999.
- “The Insight Segmentation and Registration Toolkit” www.itk.org
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