NDLI: A Metric for the Evaluation of Dense Vector Field Visualizations

Content Provider	IEEE Xplore Digital Library
Author	Matvienko, V. Kruger, J.
Copyright Year	1995
Abstract	In this work, we present an intuitive image-quality metric that is derived from the motivation of DVF visualization. It utilizes the features of the resulting image and effectively measures the similarity between the output of the visualization method and the input flow data. We use the angle between the gradient direction and the original vector field as a measure of such similarity and the gradient magnitude as an importance measure. Our metric enables the automatic evaluation of images for a given vector field and allows the comparison of different methods, parameters sets, and quality improvement strategies for a specific vector field. By integrating the metric into the image-computation process, our approach can be used to generate improved images by choosing the best parameter set. To verify the effectiveness of our method, we conducted an extensive user study that demonstrated the metric's applicability to various situations. For instance, our approach elucidated the robustness of a DVF visualization in the presence of data-altering filters, such as resampling.
Sponsorship	IEEE Computer Society Technical Committee on Computer Graphics IEEE Computer Society
Page Count	11
File Size	3125706
Starting Page	1122
Ending Page	1132
File Format	PDF
ISSN	10772626
Volume Number	19
Issue Number	7
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-01-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Measurement Visualization Vectors Equations Data visualization Noise Humans LIC Visualization evaluation texture-based visualization
Content Type	Text
Resource Type	Article
Subject	Computer Graphics and Computer-Aided Design Signal Processing Computer Vision and Pattern Recognition Software

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