Uses of Package
org.opencv.ximgproc

Packages that use org.opencv.ximgproc

Package	Description
org.opencv.ximgproc

Classes in org.opencv.ximgproc used by org.opencv.ximgproc

Class and Description
AdaptiveManifoldFilter Interface for Adaptive Manifold Filter realizations.
ContourFitting Class for ContourFitting algorithms.
DisparityFilter Main interface for all disparity map filters.
DisparityWLSFilter Disparity map filter based on Weighted Least Squares filter (in form of Fast Global Smoother that is a lot faster than traditional Weighted Least Squares filter implementations) and optional use of left-right-consistency-based confidence to refine the results in half-occlusions and uniform areas.
DTFilter Interface for realizations of Domain Transform filter.
EdgeAwareInterpolator Sparse match interpolation algorithm based on modified locally-weighted affine estimator from CITE: Revaud2015 and Fast Global Smoother as post-processing filter.
EdgeBoxes Class implementing EdgeBoxes algorithm from CITE: ZitnickECCV14edgeBoxes :
FastBilateralSolverFilter Interface for implementations of Fast Bilateral Solver.
FastGlobalSmootherFilter Interface for implementations of Fast Global Smoother filter.
FastLineDetector Class implementing the FLD (Fast Line Detector) algorithm described in CITE: Lee14 .
GraphSegmentation Graph Based Segmentation Algorithm.
GuidedFilter Interface for realizations of Guided Filter.
RFFeatureGetter Jun 17, 2014
RICInterpolator Sparse match interpolation algorithm based on modified piecewise locally-weighted affine estimator called Robust Interpolation method of Correspondences or RIC from CITE: Hu2017 and Variational and Fast Global Smoother as post-processing filter.
RidgeDetectionFilter Applies Ridge Detection Filter to an input image.
SelectiveSearchSegmentation Selective search segmentation algorithm The class implements the algorithm described in CITE: uijlings2013selective.
SelectiveSearchSegmentationStrategy Strategie for the selective search segmentation algorithm The class implements a generic stragery for the algorithm described in CITE: uijlings2013selective.
SelectiveSearchSegmentationStrategyColor Color-based strategy for the selective search segmentation algorithm The class is implemented from the algorithm described in CITE: uijlings2013selective.
SelectiveSearchSegmentationStrategyFill Fill-based strategy for the selective search segmentation algorithm The class is implemented from the algorithm described in CITE: uijlings2013selective.
SelectiveSearchSegmentationStrategyMultiple Regroup multiple strategies for the selective search segmentation algorithm
SelectiveSearchSegmentationStrategySize Size-based strategy for the selective search segmentation algorithm The class is implemented from the algorithm described in CITE: uijlings2013selective.
SelectiveSearchSegmentationStrategyTexture Texture-based strategy for the selective search segmentation algorithm The class is implemented from the algorithm described in CITE: uijlings2013selective.
SparseMatchInterpolator Main interface for all filters, that take sparse matches as an input and produce a dense per-pixel matching (optical flow) as an output.
StructuredEdgeDetection Class implementing edge detection algorithm from CITE: Dollar2013 :
SuperpixelLSC Class implementing the LSC (Linear Spectral Clustering) superpixels algorithm described in CITE: LiCVPR2015LSC.
SuperpixelSEEDS Class implementing the SEEDS (Superpixels Extracted via Energy-Driven Sampling) superpixels algorithm described in CITE: VBRV14 .
SuperpixelSLIC Class implementing the SLIC (Simple Linear Iterative Clustering) superpixels algorithm described in CITE: Achanta2012.