Image Segmentation Based on the Local Center of Mass

Version 1.1.2 (7,62 KB) von Iman Aganj
Matlab codes for unsupervised 2D and 3D image segmentation, using a local-center-of-mass approach.
5.0
(1)
1,1K Downloads
Aktualisiert 9. Apr 2025

Lizenz anzeigen

These are codes for unsupervised 2D and 3D image segmentation, using an approach based on the local center of mass of regions, described in:
I. Aganj, M. G. Harisinghani, R. Weissleder, and B. Fischl, “Unsupervised medical image segmentation based on the local center of mass,” Scientific Reports, vol. 8, Article no. 13012, 2018.
www.nature.com/articles/s41598-018-31333-5
See EXAMPLE.m for a short tutorial. If available, a GPU can be used to speed up the segmentation.

Zitieren als

Iman Aganj (2025). Image Segmentation Based on the Local Center of Mass (https://de.mathworks.com/matlabcentral/fileexchange/68561-image-segmentation-based-on-the-local-center-of-mass), MATLAB Central File Exchange. Abgerufen.

I. Aganj, M. G. Harisinghani, R. Weissleder, and B. Fischl, “Unsupervised medical image segmentation based on the local center of mass,” Scientific Reports, vol. 8, Article no. 13012, 2018. www.nature.com/articles/s41598-018-31333-5

Kompatibilität der MATLAB-Version
Erstellt mit R2018b
Kompatibel mit allen Versionen
Plattform-Kompatibilität
Windows macOS Linux
Tags Tags hinzufügen

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Version Veröffentlicht Versionshinweise
1.1.2

Minor update.
1.1.1

Minor update.
1.1

In findCMs.m, the dimension through which the center of mass is computed is now adjustable and defaults to 1.
1.0.3

Minor update.
1.0.2

Minor update.
1.0.1

Minor update.
1.0.0