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Statistical Region Merging
Statistical Region Merging | |
---|---|
Project | Fiji |
URL | https://imagej.net/Statistical_Region_Merging |
Source | on GitHub |
License | BSD-2 |
Release | 2.0.1 |
Date | Sat Apr 29 23:09:03 CDT 2017 |
Development status | Stable |
Support status | None |
Team | |
Founders | Johannes Schindelin |
Leads | - |
Developers | - |
Debuggers | - |
Reviewers | - |
Support | - |
Maintainers | Curtis Rueden |
Contributors | Johannes Schindelin, Mark Hiner |
Statistical Region Merging[1] is a fast and robust algorithm to segment an image into regions of similar intensity or color.
The idea is to start with one region per pixel and then applying a statistical test on neighboring regions (in ascending order of intensity differences) whether the mean intensities are sufficiently similar enough to be merged.
Tutorial
For the moment, the plugin handles only grayscale images:
Error creating thumbnail: Unable to save thumbnail to destination
It asks for a value for Q, which is a rough estimate of the number of regions in the image. You can also choose whether you want the regions to be marked by the mean gray value, or by the index of the region:
Error creating thumbnail: Unable to save thumbnail to destination
This is a result for a low value of Q:
Error creating thumbnail: Unable to save thumbnail to destination
References
- ↑ R. Nock, F. Nielsen (2004), "Statistical Region Merging", IEEE Trans. Pattern Anal. Mach. Intell. 26 (11): 1452-1458