|
| This Article | ||
| ||
| Share | ||
| Bibliographic References | ||
| Add to: | ||
 Digg  Furl  Spurl  Blink  Simpy  Google  Del.icio.us  Y!MyWeb | ||
| Search | ||
| ||
| ASCII Text | x | ||
| Jesus Caban, Alark Joshi, Penny Rheingans, "Texture-based feature tracking for effective time-varying data visualization," IEEE Transactions on Visualization and Computer Graphics, vol. 13, no. 6, pp. 1472-1479, November/December, 2007. | |||
| BibTex | x | ||
| @article{ 10.1109/TVCG.2007.70599, author = {Jesus Caban and Alark Joshi and Penny Rheingans}, title = {Texture-based feature tracking for effective time-varying data visualization}, journal ={IEEE Transactions on Visualization and Computer Graphics}, volume = {13}, number = {6}, issn = {1077-2626}, year = {2007}, pages = {1472-1479}, doi = {http://doi.ieeecomputersociety.org/10.1109/TVCG.2007.70599}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - JOUR JO - IEEE Transactions on Visualization and Computer Graphics TI - Texture-based feature tracking for effective time-varying data visualization IS - 6 SN - 1077-2626 SP1472 EP1479 EPD - 1472-1479 A1 - Jesus Caban, A1 - Alark Joshi, A1 - Penny Rheingans, PY - 2007 KW - Feature tracking KW - texture-based analysis KW - flow visualization KW - time-varying data KW - visualization VL - 13 JA - IEEE Transactions on Visualization and Computer Graphics ER - | |||
[1] S. Baker and I. Matthews, Equivalence and efficiency of image alignment algorithms. In IEEE Conference on Computer Vision and Pattern Recognition, pages 1090–1097, 2001.
[2] S. Belongie, C. Carson, H. Greenspan, and J. Malik, Color- and texture-based image segmentation using EM and its application to content-based image retrieval. In Proceedings of the Sixth International Conference on Computer Vision, pages 675–682, 1998.
[3] C. I. Christodoulou, C. S. Pattichis, M. Pantziaris, and A. Nicolaides, Texture-based classification of atherosclerotic carotid plaques. volume 22, pages 902–912, July 2003.
[4] X. Guan, G. Pan, and Z. Wu, Automatic categorization of traditional chinese painting images with statistical gabor feature and color feature. In Lectures in Computer Science, pages 743–750. Springer Berlin/Heidelberg, 2005.
[5] R. Haralick, K. Shanmugam, and I. Dinstein, Textural features for image classification. In IEEE Transactions on Systems, Man, and Cybernetics, volume 3 pages 610–621, 1973.
[6] H. Hauser, L. Mroz, G. I. Bischi, and M. E. Gröller, Two-level volume rendering. volume 7, pages 242–252, 2001.
[7] G. Ji, H.-W. Shen, and R. Wenger, Volume tracking using higher dimensional isosurfacing. In IEEE Visualization '03, pages 209–216, 2003.
[8] L. Matthews, T. Ishikawa, and S. Baker, The template update problem. In IEEE Pattern Analysis and Machine Intelligence, volume 26, pages 810–815, June 2004.
[9] H. Peng, F. Long, and C. Ding, Feature selection based on mutual information: criteria of max-dependency, max-relevance, and min-redundancy. In IEEE Transactions on Pattern Analysis and Machine Intelligence, volume 27, pages 1226–1238, 2005.
[10] F. Reinders, F. H. Post, and H. J. W. Spoelder, Attribute-based feature tracking. In Data Visualization '99, pages 63–72. Springer-Verlag Wien, 1999.
[11] P. Rheingans and D. Ebert, Volume illustration: Non-photorealistic rendering of volume models. In IEEE Transactions on Visualization and Computer Graphics, volume 7 (3), pages 253–264, 2001.
[12] R. Samtaney, D. Silver, N. Zabusky, and J. Cao, Visualizing features and tracking their evolution. volume 27, pages 20–27. IEEE Computer Society Press, 1994.
[13] D. Silver and X. Wang, Volume tracking. In R. Yagel and G. M. Nielson, editors, IEEE Visualization '96, pages 157–164, 1996.
[14] D. Silver and X. Wang, Tracking scalar features in unstructured datasets. In IEEE Visualization '98, pages 79–86, 1998.
[15] X. Tang, Texture information in run-length matrices. In IEEE Transactions of Image Processing, volume 7, pages 1602–1609, 1998.
[16] F.-Y. Tzeng and K.-L. Ma, Intelligent feature extraction and tracking for large-scale 4d flow simulations. In IEEE Supercomputing Conference, pages 8–15, 2005.
[17] K. Wang, H. Qin, P. R. Fisher, and W. Zhao, Automatic registration of mammograms using texture-based anisotropic features. In Proceedings of 2006 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, pages 864–867, 2006.
[18] H. E. Willoughby, Atmosphere: Forecasting hurricane intensity and impacts. In Science, volume 315, page 1232, 2007.
[19] Y. Xu, M. Sonka, G. McLennan, J. Guo, and E. A. Hoffman, MDCT-based 3-D texture classification of emphysema and early smoking related lung pathologies. volume 25, pages 464–475, 2006.