diplib/nonlinear.h file

Functions

void dip::PercentileFilter(dip::Image const& in, dip::Image& out, dip::dfloat percentile, dip::Kernel const& kernel = {}, dip::StringArray const& boundaryCondition = {})

Applies a percentile filter to in.

void dip::MedianFilter(dip::Image const& in, dip::Image& out, dip::Kernel const& kernel = {}, dip::StringArray const& boundaryCondition = {})

The median filter, a non-linear smoothing filter.

void dip::VarianceFilter(dip::Image const& in, dip::Image& out, dip::Kernel const& kernel = {}, dip::StringArray const& boundaryCondition = {})

Computes, for each pixel, the sample variance within a filter window around the pixel.

void dip::SelectionFilter(dip::Image const& in, dip::Image const& control, dip::Image& out, dip::Kernel const& kernel = {}, dip::dfloat threshold = 0.0, dip::String const& mode = S::MINIMUM, dip::StringArray const& boundaryCondition = {})

Selects, for each pixel, a value from within the filter window, where a control image is minimal or maximal.

void dip::Kuwahara(dip::Image const& in, dip::Image& out, dip::Kernel kernel = {}, dip::dfloat threshold = 0.0, dip::StringArray const& boundaryCondition = {})

The Kuwahara-Nagao operator, a non-linear edge-preserving smoothing filter.

void dip::NonMaximumSuppression(dip::Image const& gradmag, dip::Image const& gradient, dip::Image const& mask, dip::Image& out, dip::String const& mode = S::INTERPOLATE)

Non-maximum suppression, as used in the Canny edge detector.

void dip::MoveToLocalMinimum(dip::Image const& bin, dip::Image const& weights, dip::Image& out)

Given a sparse binary image bin, moves each set pixel to the pixel in the 3x3 neighborhood with lowest weight.

void dip::PeronaMalikDiffusion(dip::Image const& in, dip::Image& out, dip::uint iterations = 5, dip::dfloat K = 10, dip::dfloat lambda = 0.25, dip::String const& g = "Gauss")

Applies Perona-Malik anisotropic diffusion

void dip::GaussianAnisotropicDiffusion(dip::Image const& in, dip::Image& out, dip::uint iterations = 5, dip::dfloat K = 10, dip::dfloat lambda = 0.25, dip::String const& g = "Gauss")

Applies iterative generic anisotropic diffusion using Gaussian derivatives

void dip::RobustAnisotropicDiffusion(dip::Image const& in, dip::Image& out, dip::uint iterations = 5, dip::dfloat sigma = 10, dip::dfloat lambda = 0.25)

Applies iterative robust anisotropic diffusion

void dip::CoherenceEnhancingDiffusion(dip::Image const& in, dip::Image& out, dip::dfloat derivativeSigma = 1, dip::dfloat regularizationSigma = 3, dip::uint iterations = 5, dip::StringSet const& flags = {})

Applies iterative coherence enhancing (anisotropic) diffusion

void dip::AdaptiveGauss(dip::Image const& in, dip::ImageConstRefArray const& params, dip::Image& out, dip::FloatArray const& sigmas = {5.0,1.0}, dip::UnsignedArray const& orders = {0}, dip::dfloat truncation = 2.0, dip::UnsignedArray const& exponents = {0}, dip::String const& interpolationMethod = S::LINEAR, dip::String const& boundaryCondition = S::SYMMETRIC_MIRROR)

Adaptive Gaussian filtering.

void dip::AdaptiveBanana(dip::Image const& in, dip::ImageConstRefArray const& params, dip::Image& out, dip::FloatArray const& sigmas = {5.0,1.0}, dip::UnsignedArray const& orders = {0}, dip::dfloat truncation = 2.0, dip::UnsignedArray const& exponents = {0}, dip::String const& interpolationMethod = S::LINEAR, dip::String const& boundaryCondition = S::SYMMETRIC_MIRROR)

Adaptive Gaussian filtering using curvature.

void dip::FullBilateralFilter(dip::Image const& in, dip::Image const& estimate, dip::Image& out, dip::FloatArray spatialSigmas = {2.0}, dip::dfloat tonalSigma = 30.0, dip::dfloat truncation = 2.0, dip::StringArray const& boundaryCondition = {})

Bilateral filter, brute-force full kernel implementation

void dip::QuantizedBilateralFilter(dip::Image const& in, dip::Image const& estimate, dip::Image& out, dip::FloatArray spatialSigmas = {2.0}, dip::dfloat tonalSigma = 30.0, dip::FloatArray tonalBins = {}, dip::dfloat truncation = 2.0, dip::StringArray const& boundaryCondition = {})

Quantized (piecewise linear) bilateral filter

void dip::SeparableBilateralFilter(dip::Image const& in, dip::Image const& estimate, dip::Image& out, dip::BooleanArray const& process = {}, dip::FloatArray spatialSigmas = {2.0}, dip::dfloat tonalSigma = 30.0, dip::dfloat truncation = 2.0, dip::StringArray const& boundaryCondition = {})

Separable bilateral filter, a very fast approximation

void dip::BilateralFilter(dip::Image const& in, dip::Image const& estimate, dip::Image& out, dip::FloatArray spatialSigmas = {2.0}, dip::dfloat tonalSigma = 30.0, dip::dfloat truncation = 2.0, dip::String const& method = "xysep", dip::StringArray const& boundaryCondition = {})

Bilateral filter, convenience function that allows selecting an implementation