Class List

Here are the classes, structs, unions and interfaces with brief descriptions:

[detail level 12]

CBilateralFilterDriver	Bilateral filter driver
CBlurDriver	Blur driver
CCCS_OpenCV	Wrapper for running CCS using OpenCV images
CCIS_OpenCV	Wrapper for running CIS with OpenCV images
CConnectedComponents	Efficient (multi-label) connected components algorithm
CCRS_OpenCV	Wrapper for running CRS on OpenCV images
CDASP_OpenCV	Wrapper for running DASP on OpenCV images
▼CDepthTools	Tools for using depth information
CCamera	Represents basic intrinsic parameters used to project pixels into a point cloud
CERGC_OpenCV	Wrapper for running ERGC on OpenCV images
CERS_OpenCV	Wrapper for running ERS on OpenCV images
CETPS_OpenCV	Wrapper for running ETPS on OpenCV images
CEvaluation	Provides measures to evaluate (over-) segmentations
▼CEvaluationSummary	Given a directory of superpixel segmentations and a directory of ground truth segmentations, this class is used to generate a CSV file of statistics of different metrics
CEvaluationMetrics	Available metrics, see evaluation.h
CEvaluationStatistics	Available statistics that may be computed for each metric
CSuperpixelVisualizations	Available superpixel visualizations, see visualization.h
CFH_OpenCV	Wrapper for running FH on OpenCV images
CGaussianBlurDriver	Gaussian blur filter
CGaussianNoiseDriver	Additive Gaussian noise and Gaussian sampling error driver
CGraphSegmentation	Implementation of graph based image segmentation as described in the paper by Felzenswalb and Huttenlocher
CGraphSegmentationDistance	Interface to be implemented by a concerete distance. The distance defines how the weights between nodes in the image graph are computed. See the paper by Felzenswalb and Huttenlocher for details. Essentially, derived classes only need to overwrite the () operator
CGraphSegmentationEuclideanRGB	Euclidean RGB distance
CGraphSegmentationMagic	The magic part of the graph segmentation, i.e. s given two nodes decide whether to add an edge between them (i.e. merge the corresponding segments). See the paper by Felzenswalb and Huttenlocher for details
CGraphSegmentationMagicThreshold
CGraphSegmentationManhattenRGB	Manhatten (i.e. L1) distance
CImageEdge	Represents an edge between two pixels in an image. Each edge is characterized by a weight and the adjacent nodes
CImageEdgeSorter	Class for sorting edges according to weight
CImageGraph	Represents an image graph, consisting of one node per pixel which are 4-connected
CImageNode	Represents a pixel in a video. Each pixel is represented by its color which is needed to compute the weights between pixels
CIOUtil	I/O utilities
CLSC_OpenCV	Wrapper for running LSC on OpenCV images
CMedianBlurDriver	Median blur driver
CMotionBlurDriver	Motion blur driver
CMSS_OpenCV	Wrapper for running MSS on OpenCV images
CParameterOptimizationTool	Tool to guide parameter optimization using grid search
CPB_OpenCV	Wrapper for running PB on OpenCV images
CPoissonNoiseDriver	Poisson noise driver
CRobustnessTool	Tool evaluating the robustness for different filters/enhancement/transformations
CRobustnessToolDriver	Driver for different filters/enhancements/transformations
CRotationDriver	Rotation driver
CSaltAndPepperNoiseDriver	Salt and pepper noise driver
Cscost
CShearDriver	Vertical and horizontal shear driver
CSLIC_OpenCV	Wrapper for running SLIC on OpenCV images
CSuperpixelTools	Superpixel utilities
CTransformation	Utility class for image and ground truth transofmrations
CTranslationDriver	Translation driver
CVC_OpenCV	Wrapper for running VC on OpenCV images
CVCCS_OpenCV_PCL	Wrapper for running PCL on OpenCV images given the point cloud as OpenCV image
CVisualization	Some basic visualizations of superpixel segmentations
CVLSLIC_OpenCV	Wrapper for running vlSLIC on OpenCV images