pyImSegm

Type
Collection
Author
Jiri Borovec
Requires
Python
Execution Platform
Linux
Implementation Type
library
standalone
Programming Language
Python
Supported image dimension
2D
Interaction Level
Semi-automated
License/Openness
Free and open source
License
BSD-3
Description

Collection of several basic standard image segmentation methods focusing on medical imaging. In particular, the key block/applications are (un)supervised image segmentation using superpixels, object centre detection and region growing with a shape prior. Besides the open-source code, there is also a few sample images.

 

has function
Image segmentation
has topic
Machine learning
has biological terms
Drosophila melanogaster
pathology
Post date
03/08/2019 - 11:11
Last modified
03/08/2019 - 13:06
Download Page
https://borda.github.io/pyImSegm/
Documentation Link
https://github.com/Borda/pyImSegm
Reference Publication Link
Supervised and unsupervised segmentation using superpixels, model estimation, a…
Detection and Localization of Drosophila Egg Chambers in Microscopy Images.
Region growing using superpixels with learned shape prior.