mamrehn / interactive_image_segmentation_evaluation

Code for paper "A Semi-Automated Usability Evaluation Framework for Interactive Image Segmentation Systems"

Interactive Image Segmentation Evaluation

This repository provides a JavaScript and Python implementation of our Usability Evaluation Framework for Interactive Image Segmentation Systems.

User Interface (WebApp)

HTML5 interactive image segmentation application for user interaction log collection. → WebApp

Click here for an interactive demo.

Dependencies

• AngularJS v1.x MVVM Framework
• Angular Material UI Component framework for the material design
• Bootstap HTML, CSS, and JS framework for responsive, mobile first UIs
• Firebase Data storage API provider
• jQuery DOM manipulation library

Evaluation Framework

Python interaction log evaluation framework. → Evaluation

Dependencies

• Scikit-learn Efficient tools for data analysis
• MedPy Medical image processing in Python
• Scikit-image Algorithms for image processing
• Joblib Persistence and parallelization tool
• Cython Static compiler for C/Python files
• Tqdm Progress bar for Python
• Zenlog Straightforward script logging

Paper

M. Amrehn, R. Kortekaas, M. Strumia, M. Weingarten, M. Kowarschik, A. Maier "A Semi-Automated Usability Evaluation Framework for Interactive Image Segmentation Systems."