Statistical Region Merging

Statistical Region Merging
Project Fiji
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
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.


For the moment, the plugin handles only grayscale images:

Statistical Region Merging-Boats.jpg

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:

Statistical Region Merging-Dialog.jpg

This is a result for a low value of Q:

Statistical Region Merging-Result.jpg


  1. R. Nock, F. Nielsen (2004), "Statistical Region Merging", IEEE Trans. Pattern Anal. Mach. Intell. 26 (11): 1452-1458