Scalable Interactive Image Segmentation

Overview

Image segmentation is an indispensable processing tool due to its wide applications in science, medicine, and the arts. This work focuses on novel scalable algorithms for graph-based, interactive image segmentations.

Funding
This work is funded under NSF award (1657020):
CRII: CHS: Scalable Interactive Image Segmentation through Hierarchical, Query-Driven Processing
Publications
Adaptive Compositing and Navigation of Variable Resolution Images, C. Licorish, N. Faraj, and B. Summa, Computer Graphics Forum, to appear.
Persistence Atlas for Critical Point Variability in Ensembles, G. Favelier, N. Faraj, B. Summa, and J. Tierny, IEEE Transactions on Visualization and Computer Graphics (Proceedings IEEE VIS 2018), 25 (1), pp. 1152-1162, 2019. [PDF]
Flexible Live-Wire: Image Segmentation with Floating Anchors, B. Summa, N. Faraj, C. Licorish, and V. Pascucci, Computer Graphics Forum Proceedings of Eurographics 2018), 37(2), pp. 321-328, 2018. [PDF]
Visualizing the Uncertainty of Graph-based 2D Segmentation with Min-path Stability, B. Summa, J. Tierny, and V. Pascucci, Computer Graphics Forum (Proceedings of Eurovis 2017), 36(3), pp. 133–143, 2017. [PDF]