Image Analysis in Geosciences Renée Heilbronner where? University of Minnesota when? April, 27 - May, 1, 2015 TWIN CITIES WORKSHOP TEXT BOOK This short course is designed to familiarize the participants with methods of image processing and to provide sufficient background to be able carry out a number of different microstructural analyses. Heilbronner, R. and Barrett, S.D.: ‘Image Analysis in Earth Sciences’, Springer Verlag, Heidelberg, 2013. ISBN 978-3-642-10342-1 Two basic types of image analysis are introduced: - direct analysis of images without segmentation, - analysis of segmented images (bitmaps), best fit objects or outlines. SOFTWARE Depending on the audience, additional special techniques may be introduced at any point in the course. Image SXM (Mac) and/or ImageJ / Fiji (Mac and PC) Spreadsheet Program Plot Software WEB INFO http://earth.unibas.ch/micro/ SCHEDULE monday tuesday wednesday thursday friday volumes segmentation grain size shape & strain FFT & ACF 9:00 session 1 1st day start at 10:00 introduction overview course organization image model point operations POP segmentation by POP 10:30 11:00 digital images session 2 Image SXM intro look-up tables (Lazy LUTs) scale - calibrate re-size LAB SESSION make stack: phase map grain map - gb map segmentation & structural filtering (Lazy erode dilate) 17:00 spatial frequency Fourier transforms FFT frequency filtering 2D to 3D Kaleidagraph: prepare histograms stripstar examples particle shape, axes particle orientation (paror) bulk fabric Kaleidgraph: plot results autocorrelation function (ACF) (Lazy ACF) surface orientation (surfor) bulk fabric - strain individual shapes of particles (ishapes) various shape factors open session special topics projects LAB SESSION: surfor and paror analyses discussion final wrap-up course evaluation lunch break neighbourhood operations fractal GSDs NOP GSD mapping averaging filters (Lazy D-map) gradient filters segmentation by NOP (Lazy grain boundaries) 15:00 15.30 volume estimation session 4 (Lazy LUTs) stereology basics raster to outline (Lazy digitize) digitizing artefacts (scasmo) break 12:30 13:30 pre-process: noise filter session 3 background corrections (Lazy lighting) segmentation by LUT copy - image math contiguous phase stack grain size 3D to 2D size distributions GSD grain size mapping (Lazy grain size map) break Image SXM: Analyze menu Kaleidagraph: plot data LAB SESSION grain size analysis end of day
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