Superpixel Benchmark
Superpixel benchmark, tools and algorithms.
Classes | Macros
graph_segmentation.h File Reference
#include <opencv2/opencv.hpp>
#include "image_graph.h"

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Classes

class  GraphSegmentationDistance
 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. More...
 
class  GraphSegmentationManhattenRGB
 Manhatten (i.e. L1) distance. More...
 
class  GraphSegmentationEuclideanRGB
 Euclidean RGB distance. More...
 
class  GraphSegmentationMagic
 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. More...
 
class  GraphSegmentationMagicThreshold
 
class  GraphSegmentation
 Implementation of graph based image segmentation as described in the paper by Felzenswalb and Huttenlocher. More...
 

Macros

#define RAND()   ((float) std::rand() / (RAND_MAX))
 

Macro Definition Documentation

#define RAND ( )    ((float) std::rand() / (RAND_MAX))

Copyright (c) 2016, David Stutz Contact: david.nosp@m..stu.nosp@m.tz@rw.nosp@m.th-a.nosp@m.achen.nosp@m..de, davidstutz.de All rights reserved.

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