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ISpace: interactive volume data classification techniques using independent component analysis

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4 Author(s)
Takanashi, I. ; Inf. Technol. R&D Center, Mitsubishi Electr. Corp., Japan ; Lum, E.B. ; Kwan-Liu Ma ; Muraki, S.

This paper introduces an interactive classification technique for volume data, called ISpace, which uses Independent Component Analysis (ICA) and a multidimensional histogram of the volume data in a transformed space. Essentially, classification in the volume domain becomes equivalent to interactive clipping in the ICA space, which as demonstrated using several examples is more intuitive and direct for the user to classify data. The result is an opacity transfer function defined for rendering multivariate scalar volume data.

Published in:

Computer Graphics and Applications, 2002. Proceedings. 10th Pacific Conference on

Date of Conference:

2002