Skip to content

1danielcoelho/ImageJ-Seg-FuzzyConnectedness

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

38 Commits
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

ImageJ-Seg-FuzzyConnectedness

ImageJ 1.x plugin based on an example Maven project

Uses a simple GUI to allow performing the Fuzzy Connectedness segmentation algorithm on DICOM image series.

Dependencies

ImageJ version 1.50i (Java 1.8.0_77 64-bit)

Installation

  • Drag the jar file to the /plugins folder in the ImageJ installation directory
  • Alternatively import the project into an IDE and export the .jar file yourself

Instructions

  • Open ImageJ
  • Open a DICOM image series by clicking File->Open... or File->Import->Image Sequence... and following the dialog
  • Open the Plugin GUI by clicking Plugin->Fuzzy Connectedness
  • Hit the 'Select seeds' toggle and click on the target seed points (these can be on any slice of the stack)
  • Adjust the object threshold to only incorporate pixels/voxels with at least that value of connectedness (range [0,1])
  • Hit 'Run' to perform the segmentation algorithm
  • The resulting image can be binarized by hitting the 'Binarize image' checkbox and adjusting the binarization threshold

License

See the LICENSE file for license rights and limitations (MIT).

References

  • UDUPA, J. K.; SAHA, P. K.; LOTUFO, R. A. Relative Fuzzy Connectedness and Object Definition: Theory, Algorithms, and Applications in Image Segmentation. IEEE Transactions On Pattern Analysis And Machine Intelligence, v. 24, n. 11, p. 1485-1500, 2002.
  • NYÚL, L. G.; FALCÃO, A. X.; UDUPA, J. K. Fuzzy-connected 3D image segmentation at interactive speeds. Graphical Models, v. 64, p. 259-281, 2003
  • WELFORD, B. P. Note on a method for calculating corrected sums of squares and products. Technometrics 4(3):419–420, 1962

About

ImageJ plugin for volumetric segmentation of DICOM series with the Fuzzy Connectedness algorithm

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages