Visualizing the Uncertainty of Graph‐based 2D Segmentation with Min‐path Stability

This paper presents a novel approach to visualize the uncertainty in graph‐based segmentations of scalar data. Segmentation of 2D scalar data has wide application in a variety of scientific and medical domains. Typically, a segmentation is presented as a single unambiguous boundary although the solu...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	Computer graphics forum Jg. 36; H. 3; S. 133 - 143
Hauptverfasser:	Summa, B., Tierny, J., Pascucci, V.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Oxford Blackwell Publishing Ltd 01.06.2017 Wiley
Schlagworte:	Categories and Subject Descriptors (according to ACM CCS) Complexity Computational Geometry Computer graphics methodology, Image processing segmentation, Pixel classification Computer Science Discrete Mathematics I.3.6 [Computer Graphics]: Methodology and Techniques—Graphics data structures and data types I.4.6 [Image Processing and Computer Vision]: Segmentation—Pixel classification MATHEMATICS AND COMPUTING Minima Segmentation Stability analysis Uncertainty Wire
ISSN:	0167-7055, 1467-8659
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!