The Active Segmentation platform for ImageJ (ASP/IJ) [2] was developed in the scope of GSOC 2016 – 2025. The plugin provides a general-purpose environment that allows biologists and other domain experts to transparently use state-of-the-art techniques in machine learning to achieve excellent image segmentation and classification. ImageJ [1] is a public-domain Java image processing program extensively used in life and material sciences. The program was designed with an open architecture and is extensible via plugins.
The project idea: Users can tweak filter parameters via sliders/spinners and immediately see the effect on the image.
Tasks
• Fix existing issues and bugs
• UI implementation and testing
Minimal set of deliverables
• Requirement specification - Prepared by the candidate after understanding the functionality.
• System Design - Detailed plan for development of the plugin and test cases.
• Implementation and testing - Details of implementation and testing of the platform.
Desired skills: Java
Mentors: Dimiter Prodanov (dimiterpp@gmail.com) IICT-BAS; Rikas Ilamdeen (rikasilamdeen@gmail.com)