Supported algorithms
Jump to navigation
Jump to search
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