Algorithm that generates accurate superpixel segmentation for noisy images (particularly useful for biological images such as electron microscopic images etc.)
Matlab
Switch branches/tags
Nothing to show
Clone or download
Fetching latest commit…
Cannot retrieve the latest commit at this time.
Permalink
Failed to load latest commit information.
APD.m
ComputeCannyEdgeWeights.m
ComputeEdgeWeights.m
Generate_Features.m
LICENSE
NLmeansfilter.m
README.md
Region_Merging.m
Salient_Watershed.m
UPD.m
adjustImageContrast.m
intersect_sorted.m
kmeans_color.m
merge_regions.m
partition_dist.m
plotGreenEdges.m
plotRedEdges.m
plotRedGreenEdges.m
post_process.m
reg_distance.m
region_adj_graph.m
remove_block_zeros.m
remove_boundaries.m
remove_small_regions.m
validation.m

README.md

Date: 06/05/2013, v0.1

Salient_Watershed.m -- Performs the salient watershed over-segmentation for noisy images. Region_Merging.m -- Takes the salient watershed output and performs region merging.

Dependencies: 1. BSD (Berkeley segmentation dataset and code utilities). 2. FastEMD (http://www.cs.huji.ac.il/~ofirpele/FastEMD/ 3. Texture (http://www.robots.ox.ac.uk/~vgg/research/texclass/)

Cite: S. Navlakha (), P. Ahammad (), E.W. Myers. Unsupervised Segmentation of Noisy Electron Microscopy Images Using Salient Watersheds and Region Merging. BMC Bioinformatics 2013. (*) = Equal co-authors

Contact: S. Navlakha -- navlakha@cs.cmu.edu P. Ahammad -- parvez@ieee.org