Class EdgeAwareInterpolator
- Namespace
- OpenCvSharp.XImgProc
- Assembly
- OpenCvSharp.dll
Sparse match interpolation algorithm based on modified locally-weighted affine estimator and Fast Global Smoother as post-processing filter.
public class EdgeAwareInterpolator : SparseMatchInterpolator, IDisposable- Inheritance
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EdgeAwareInterpolator
- Implements
- Inherited Members
Properties
- FGSLambda
The respective fastGlobalSmootherFilter() lambda parameter.
- FGSSigma
The respective fastGlobalSmootherFilter() sigma parameter.
- K
K is a number of nearest-neighbor matches considered, when fitting a locally affine model. Usually it should be around 128. However, lower values would make the interpolation noticeably faster.
- Lambda
Lambda is a parameter defining the weight of the edge-aware term in geodesic distance, should be in the range of 0 to 1000.
- Sigma
Sigma is a parameter defining how fast the weights decrease in the locally-weighted affine fitting. Higher values can help preserve fine details, lower values can help to get rid of noise in the output flow.
- UsePostProcessing
Sets whether the fastGlobalSmootherFilter() post-processing is employed. It is turned on by default.
Methods
- Create()
Factory method that creates an instance of the EdgeAwareInterpolator.
- SetCostMap(Mat)
Interface to provide a more elaborated cost map, i.e. edge map, for the edge-aware term. This implementation is based on a rather simple gradient-based edge map estimation. To use a more complex edge map estimator (e.g. StructuredEdgeDetection) that may lead to improved accuracies, the internal edge map estimation can be bypassed here.