Interactive visualisation tools for analysing NIR data

dc.contributor.author	Munro, Hayden	en_NZ
dc.contributor.author	Novins, Kevin	en_NZ
dc.contributor.author	Benwell, George L	en_NZ
dc.contributor.author	Moffat, Alistair	en_NZ
dc.date.copyright	1996-07	en_NZ
dc.identifier.citation	Munro, H., Novins, K., Benwell, G. L., & Moffat, A. (1996). Interactive visualisation tools for analysing NIR data (Information Science Discussion Papers Series No. 96/13). University of Otago. Retrieved from http://hdl.handle.net/10523/972	en
dc.identifier.uri	http://hdl.handle.net/10523/972
dc.description	Please note that this is a searchable PDF derived via optical character recognition (OCR) from the original source document. As the OCR process is never 100% perfect, there may be some discrepancies between the document image and the underlying text.	en_NZ
dc.description.abstract	This paper describes a tool being developed to allow users to visualise the ripening characteristics of fruit. These characteristics, such as sugar, acid and moisture content, can be measured using non-destructive Near Infrared Reflectance (NIR) analysis techniques. The four dimensional nature of the NIR data introduces some interesting visualisation problems. The display device only provides two dimensions, making it necessary to design two dimensional methods for representing the data. In order to help the user fully understand the dataset, a graphical display system is created with an interface that provides flexible visualisation tools.	en_NZ
dc.format.mimetype	application/pdf
dc.publisher	University of Otago	en_NZ
dc.relation.ispartofseries	Information Science Discussion Papers Series	en_NZ
dc.subject	NIR spectroscopy	en_NZ
dc.subject	Polhemus FasTrak™	en_NZ
dc.subject	interaction	en_NZ
dc.subject	interactive graphics	en_NZ
dc.subject	interfaces	en_NZ
dc.subject	visualisation	en_NZ
dc.subject	scientific visualisation	en_NZ
dc.subject.lcsh	QA76 Computer software	en_NZ
dc.title	Interactive visualisation tools for analysing NIR data	en_NZ
dc.type	Discussion Paper	en_NZ
dc.description.version	Unpublished	en_NZ
otago.bitstream.pages	10	en_NZ
otago.date.accession	2011-02-01 23:19:26	en_NZ
otago.school	Information Science	en_NZ
otago.openaccess	Open
otago.place.publication	Dunedin, New Zealand	en_NZ
dc.identifier.eprints	1087	en_NZ
otago.school.eprints	Graphics & Vision Research Laboratory	en_NZ
otago.school.eprints	Information Science	en_NZ
otago.school.eprints	Computer Science	en_NZ
dc.description.references	[1] http://wwwcivm.mc.duke.edu/default.html. The Center for In Vivo Microscopy. [2] T. A. DeFanti, M. D. Brown, and B. H. McCormick. Visualisation, expanding scientific and engineering research opportunities. In Gregory M. Nielson, Bruce Shriver, and Lawrence J. Rosenblum, editors, Visualisation in Scientific Computing, pages 32–47. IEEE Computer Society Press, 1990. [3] J. D. Foley, A. van Dam, S. K. Feiner, and J. F. Hughes. Computer Graphics, Principles and Practice. Addison Wesley, 2nd edition, 1990. [4] A. S. Glassner. Graphics Gems, chapter 8, pages 462–463. Academic Press, 1990. [5] R. Hall. Illumination and Color in Computer Generated Imagery. Springer-Verlag, 1988. [6] S. Kuwano, T. Fujiwara, and M. Iwamoto. Nondestructive determination of sugar content in satsuma mandarin using near infrared (NIR) transmittance. February 1993. [7] B. H. McCormick. Computer graphics: Special issue on visualisation in scientific computing. Technical Report 21(6), ACM SIGGRAPH, November 1987. [8] M. Murakami, J. Himoto, and K. Itoh. Analysis of apple quality by near infrared reflectance spectroscopy. September 1993. [9] M. Murakami, J. Himoto, M. Natsuga, and K. Itoh. Analysis of pumpkin quality by near-infrared reflectance spectroscopy. June 1992. [10] J. Neider, T. Davis, and M. Woo. OpenGL Programming Guide. Addison Wesley, 1993. [11] J. K. Ousterhout. Tcl and the Tk Toolkit. Addison Wesley, 1994. [12] L. J. R.osenblum. Visualisation of experimental data at the naval research laboratory. In Gregory M. Nielson, Bruce Shriver, and Lawrence J. Rosenblum, editors, Visualisation in Scientific Computing, pages 245–253. IEEE Computer Society Press, 1990. [13] G. S. Smith and J. P. Curtis. A fast and effective method of measuring tree structure in three dimensions. Technical report, The Horticulture and Food Research Institute of New Zealand Ltd, 1995. [14] J. P. Snyder. Flattening the Earth. University of Chicago Press, 1993. [15] C. Ware. Color sequences for univariate maps: Theory, experiments, and principles. IEEE Computer Graphics and Applications, 8(5):41–49, September 1988. [16] B. Welch. Practical programming in tcl and tk. Draft Manuscript, 1995. [17] G. Wyvill, 1996. Informal Cornmunication.	en_NZ
otago.relation.number	96/13	en_NZ