Supported algorithms
From MIPAV
Many of these algorithms are implemented for 2D, 2.5D, 3D, monochromatic, and RGB images. Refer to the Image types section, to learn about image types for a specific algorithm.
MIPAV Algorithms
- Filters (Frequency)
- Fast Fourier Transformation (FFT)
- Filters (Spatial): Adaptive Noise Reduction
- Filters (Spatial): Adaptive Path Smooth
- Filters (Spatial) Anisotropic Diffusion
- Filters (Spatial): Coherence-Enhancing Diffusion
- Filters (Spatial): Gaussian Blur
- Filters (Spatial): Gradient Magnitude
- Filters (Spatial): Haralick Texture
- Filters (Spatial) Laplacian
- Filters (Spatial): Local Normalization
- Filters (Spatial): Mean
- Filters (Spatial): Median
- Filters (Spatial): Mode
- Filters (Spatial): Nonlinear Noise Reduction
- Filters (Spatial): Nonmaximum Suppression
- Filters (Spatial): Regularized Isotropic (Nonlinear) Diffusion
- Filters (Spatial): Slice Averaging
- Filters (Spatial): Unsharp Mask
- Filters (Wavelet): De-noising BLS GSM
- Filters (Wavelet): Thresholding
- Fuzzy C-Means: Multispectral and Single Channel Algorithms
- Registration: B-Spline Automatic Registration
- Registration: Optimized automatic registration 3D and 3.5D
- Registration: Landmark-Least Squares
- Registration: Landmark-TPSpline
- Registration: Manual 2D Series
- Registration: Midsagittal line alignment
- Registration: Reslice-Isotropic Voxels
- Registration: Time Series Optimized Automatic Registration
- Reslice-Isotropic Voxels
- Segmentation: Watershed
- Shading Correction: Inhomogeneity N3 Correction
- Standard Deviation Threshold
- Subsampling images
- Threshold
- Transform
- Transform to power of 2
- Transform: Conformal Mapping Algorithms
- Transform nonlinear
- Volume Renderer