The Active Segmentation platform for ImageJ (ASP/IJ) [2] was developed in the scope of GSOC 2016 – 2024. The plugin provides a general-purpose environment that allows biologists and other domain experts to use transparently 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: The project will streamline and simplify the existing UI implementation using WindowBuilder for Eclipse [3].
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; Teodor Minev IICT -BAS (teodorminev98@gmail.com)
References
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ImageJ: https://imagej.nih.gov/
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Active Segmentation: GitHub - sumit3203/ACTIVESEGMENTATION: Active Segmentation Project · GitHub
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Eclipse IDE https://www.eclipse.org/