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ImageJ Working Group

ImageJ Working Group

Tags:
imaging
image segmentation
Status:
Completed
Contributor/Mentors
  • Dimiter Prodanov, Imec
  • Sumit Vohra
Links
Github link
About

ImageJ is a public domain Java image processing program extensively used in life sciences. The program was designed with an open architecture that provides extensibility via Java plugins.  User-written plugins make it possible to solve almost any image processing or analysis problem or integrate the program with 3rd party software. The Active Segmentation plugin is a complete redesign of Trainable Weka Segmentation (TWS) for ImageJ. Learn more at: http://neuroinformatics.be/

How we work

This Working Group is sponsored by the Google Summer of Code (GSoC) program, a global program focused on bringing more student developers into open source software development by pairing them to work with an open source organization on a programming project during their break from school. Membership to this working group is not limited to participants in the GSoC program. All interested parties are encouraged to participate.

Members

Atin Mathur, GSoC student, 2014
Doru Gucea, GSoC student, 2015
Sumit Vohra, GSoC student, 2016
Mukesh Gupta, GSoC student, 2017
Sanjeev Dubay, GSoC student, 2018
Joanna Stachera, GSoC student, 2020
Raghavendra Singh Chauhan, GSoC student, 2020
Piyumal Demotte. 2021

Aims

Develop and improve an image segmentation plugin for the widely used ImageJ image processing program. Current projects include: deep Learning using Geometric Features, high content image feature and classification database, and input/out workflows for active segmentation platform. Learn more about the Image J Working Group's 2021 projects.

Deliverables