Abstract
MacLispix, a public domain image processing system for the Macintosh*, has been applied to a variety of image processing problems, such as using Principal Component Analysis to explore correlated images. The tools provided by MacLispix are now available in Lispix, the updated version that runs on both the PC and the Macintosh.I will illustrate the utility of Lispix by way of an example ‘data cube', a low voltage energy dispersive x-ray spectrum image provided by Ian Anderson. The ‘cube'is 200x150 pixels, each pixel having a spectrum of 512 two-byte channels The spectra were smoothed and reduced by adding adjacent channels to reduce them to 256 channels each. Since Lispix is image oriented rather than spectrum oriented, the reduced cube is stored, and represented internally as 256 images (one image for each channel in the spectrum), rather than as 200x150 spectra (one spectrum for each pixel in the image).
Publisher
Cambridge University Press (CUP)
Reference5 articles.
1. A Use's Guide to Principal Components
2. Bright, D.S. “Lispix: A Public Domain Scientific Image Analysis Program for the PC and Macintosh.”, this proceedings. Available from http://www.nist.gov/lispix/.
3. Data courtesy of Ian Anderson, Oak Ridge Natl. Labs. Details of data;Anderson;Microscopy and Microanalysis,1999
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