ISpace: Interactive Volume Data Classification Techniques Using Independent Component Analysis

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10th Pacific Conference on Computer Graphics and Applications (PG'02)

Tsinghua University, Beijing

October 09-October 11

ISBN: 0-7695-1784-6

	ASCII Text	x
	Ikuko Takanashi, Eric B. Lum, Kwan-Liu Ma, Shigeru Muraki, "ISpace: Interactive Volume Data Classification Techniques Using Independent Component Analysis," Computer Graphics and Applications, Pacific Conference on, pp. 366, 10th Pacific Conference on Computer Graphics and Applications (PG'02), 2002.

	BibTex	x
	@article{ 10.1109/PCCGA.2002.1167880, author = {Ikuko Takanashi and Eric B. Lum and Kwan-Liu Ma and Shigeru Muraki}, title = {ISpace: Interactive Volume Data Classification Techniques Using Independent Component Analysis}, journal ={Computer Graphics and Applications, Pacific Conference on}, volume = {0}, year = {2002}, isbn = {0-7695-1784-6}, pages = {366}, doi = {http://doi.ieeecomputersociety.org/10.1109/PCCGA.2002.1167880}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Computer Graphics and Applications, Pacific Conference on TI - ISpace: Interactive Volume Data Classification Techniques Using Independent Component Analysis SN - 0-7695-1784-6 SP EP A1 - Ikuko Takanashi, A1 - Eric B. Lum, A1 - Kwan-Liu Ma, A1 - Shigeru Muraki, PY - 2002 KW - Histogram KW - image processing KW - independent component analysis KW - medical imaging KW - multivariate data analysis KW - multimodality data KW - scientific visualization KW - segmentation KW - volume rendering VL - 0 JA - Computer Graphics and Applications, Pacific Conference on ER -

Ikuko Takanashi, Mitsubishi Electric Corporation

Eric B. Lum, University of California at Davis

Kwan-Liu Ma, University of California at Davis

Shigeru Muraki, National Institute of Advanced Industrial Science and Technology

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/PCCGA.2002.1167880

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.

Index Terms:

Histogram, image processing, independent component analysis, medical imaging, multivariate data analysis, multimodality data, scientific visualization, segmentation, volume rendering

Citation:

Ikuko Takanashi, Eric B. Lum, Kwan-Liu Ma, Shigeru Muraki, "ISpace: Interactive Volume Data Classification Techniques Using Independent Component Analysis," pg, pp.366, 10th Pacific Conference on Computer Graphics and Applications (PG'02), 2002

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