Superpixel Benchmark
Superpixel benchmark, tools and algorithms.
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Go to the source code of this file.
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)) |
#define RAND | ( | ) | ((float) std::rand() / (RAND_MAX)) |
Copyright (c) 2016, David Stutz Contact: david, davidstutz.de All rights reserved. .stu tz@rw th-a achen .de
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