83             const cv::Mat >, 
float d = 0.0025);
   102             const cv::Mat >, 
float d = 0.0025);
   152             const cv::Mat &image);
   160             const cv::Mat &image);
   184             const cv::Mat &image);
   233             int &min_size, 
int &max_size, 
float &size_variation);
   252     static float computeAverageMetric(
const std::vector<float>& values, 
const std::vector<float>& superpixels,
   253         int min_superpixels = 200, 
int max_superpixels = 5200);
   260     static void computeBoundingBoxes(
const cv::Mat &labels, std::vector<cv::Rect> &rectangles);
   271     static void computeIntersectionMatrix(
const cv::Mat &labels, 
const cv::Mat >,
   272             cv::Mat &intersection_matrix, std::vector<int> &superpixel_sizes, std::vector<int> >_sizes);
   280     static bool is4ConnectedBoundaryPixel(
const cv::Mat &labels, 
int i, 
int j);
   288     static bool is8Minus4ConnectedBoundaryPixel(
const cv::Mat &labels, 
int i, 
int j);
 static float computeBoundaryPrecision(const cv::Mat &labels, const cv::Mat >, float d=0.0025)
Compute boundary precision: 
Definition: evaluation.cpp:89
 
static float computeCompactness(const cv::Mat &labels)
Compute Compactness as follows: 
Definition: evaluation.cpp:617
 
static int computeSuperpixels(const cv::Mat &labels)
Count the number of superpixels. 
Definition: evaluation.cpp:809
 
static float computeSumOfSquaredErrorXY(const cv::Mat &labels, const cv::Mat &image)
Compute Sum-of-Squared Error XY. 
Definition: evaluation.cpp:391
 
static float computeExplainedVariation(const cv::Mat &labels, const cv::Mat &image)
Compute the explained variation of the given segmentation. 
Definition: evaluation.cpp:441
 
static float computeAchievableSegmentationAccuracy(const cv::Mat &labels, const cv::Mat >)
Compute achievable segmentation accuracy as follows: 
Definition: evaluation.cpp:302
 
static float computeBoundaryRecall(const cv::Mat &labels, const cv::Mat >, float d=0.0025)
Compute boundary recall: 
Definition: evaluation.cpp:41
 
static float computeAverageMetric(const std::vector< float > &values, const std::vector< float > &superpixels, int min_superpixels=200, int max_superpixels=5200)
Computes the average of a metric, i.e. computes the integral of the metric in the given superpixel ra...
Definition: evaluation.cpp:948
 
static float computeRegularity(const cv::Mat &labels)
Regularity can be computed as the fraction of boundary pixels of a superpixels and the boundary pixel...
Definition: evaluation.cpp:771
 
Some basic visualizations of superpixel segmentations. 
Definition: visualization.h:40
 
static float computeSumOfSquaredErrorRGB(const cv::Mat &labels, const cv::Mat &image)
Compute Sum-of-Squared Error on RGB. 
Definition: evaluation.cpp:339
 
static float computeUndersegmentationError(const cv::Mat &labels, const cv::Mat >)
Compute the Undersegmentation error as follows: 
Definition: evaluation.cpp:150
 
static float computeOversegmentationError(const cv::Mat &labels, const cv::Mat >)
Definition: evaluation.cpp:191
 
static float computeLevinUndersegmentationError(const cv::Mat &labels, const cv::Mat >)
Compute the Undersegmentation Error (Levinshtein et al.): 
Definition: evaluation.cpp:267
 
static void computeSuperpixelSizes(const cv::Mat &labels, float &average_size, int &min_size, int &max_size, float &size_variation)
Compute superpixel size statistics. 
Definition: evaluation.cpp:839
 
static float computeIntraClusterVariation(const cv::Mat &labels, const cv::Mat &image)
Compute Intra-Cluster Variation, that is the average standard deviation over all superpixels. 
Definition: evaluation.cpp:545
 
static float computeMeanDistanceToEdge(const cv::Mat &labels, const cv::Mat >)
Compute Mean Distance to Edge: 
Definition: evaluation.cpp:503
 
Provides measures to evaluate (over-) segmentations. 
Definition: evaluation.h:40
 
static float computeContourDensity(const cv::Mat &labels)
Contour Density is given as. 
Definition: evaluation.cpp:701
 
static float computeEdgeRecall(const cv::Mat &labels, const cv::Mat &edges, float d=0.0025)
Compute edge recall based on a computed edge map. 
Definition: evaluation.cpp:895
 
static float computeNPUndersegmentationError(const cv::Mat &labels, const cv::Mat >)
Computes the Undersegmentation Error (Neubert, Protzel): 
Definition: evaluation.cpp:232