GEMSe: Visualization-Guided Exploration of Multi-channel Segmentation Algorithms

• Published in: Computer graphics forum Vol. 35; no. 3; pp. 191 - 200
• Main Authors: Fröhler, B., Möller, T., Heinzl, C.
• Format: Journal Article
• Language: English
• Published: Oxford Blackwell Publishing Ltd 01.06.2016
• Subjects: Algorithms; Analysis; Categories and Subject Descriptors (according to ACM CCS); Clusters; Computation; Computer graphics; I.3.8 [Computer Graphics]: Applications; I.4.6 [Image Processing and Computer Vision]: Segmentation-Pixel classification; Interactive; Segmentation; Studies; Tomography; Visualization; X-rays

We present GEMSe, an interactive tool for exploring and analyzing the parameter space of multi‐channel segmentation algorithms. Our targeted user group are domain experts who are not necessarily segmentation specialists. GEMSe allows the exploration of the space of possible parameter combinations fo...