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...

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Bibliographic Details

Published in:	Computer graphics forum Vol. 36; no. 3; pp. 133 - 143
Main Authors:	Summa, B., Tierny, J., Pascucci, V.
Format:	Journal Article
Language:	English
Published:	Oxford Blackwell Publishing Ltd 01.06.2017 Wiley
Subjects:	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 Access:	Get full text
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