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A Gradient‐Based Comparison Measure for Visual analysis of Multifield Data
Author(s) -
Nagaraj Suthambhara,
Natarajan Vijay,
Nanjundiah Ravi S.
Publication year - 2011
Publication title -
computer graphics forum
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.578
H-Index - 120
eISSN - 1467-8659
pISSN - 0167-7055
DOI - 10.1111/j.1467-8659.2011.01959.x
Subject(s) - measure (data warehouse) , scalar (mathematics) , computer science , noise (video) , visualization , scalar field , artificial intelligence , computer vision , algorithm , data mining , mathematics , geometry , image (mathematics) , mathematical physics
We introduce a multifield comparison measure for scalar fields that helps in studying relations between them. The comparison measure is insensitive to noise in the scalar fields and to noise in their gradients. Further, it can be computed robustly and efficiently. Results from the visual analysis of various data sets from climate science and combustion applications demonstrate the effective use of the measure.