Input Data Options tomographic data (1) segmented data (2) burn data (3) medial axis data (4) throat data (5) pore-throat network data (6) fluid data (7) Enter choice: 1 Data Processing Options plot image (1) plot slice histograms (2) resize tomographic data (3) generate circular fiducial polygon (4) segment data (5) porosity/cut_off dependence (6) investigate dfn K values (7) investigate dfn threshold values (8) |grad image| histogram (9) image magnification (10) Enter choice: 5 Segment by simple threshold (smpl) anisotropic diffusion (dfn) indicator kriging (krig) Mardia-Hainsworth (mh) color values (hls) Enter choice: krig The tomographic data file is a raw data file (raw) partially diffused data file (dfn) Enter choice: raw Tomographic data slices are contained in separate files (slc) a single file (vol) Enter file type (slc,vol): slc Recognized tomographic data file types are ascii integer array ( ai) binary integer array ( bi) swapped binary integer array ( sbi) binary short integer array ( bs) swapped binary short array ( sbs) binary unsigned char array ( ubc) netcdf files ( nc) netcdf ascii files ( na) Kimberly Clark data ( kc) punch ascii files ( pa) sun rasterfile ( 8-bit color) ( sr8) sun rasterfile (24-bit color) (sr24) bmp ( bmp) tiff file (tiff) Enter data type (ai,bi,sbi,bs,sbs,ubc,nc,na,kc,pa,sr8,sr24,bmp,tiff): ubc Tomographic file has header? (y,n(dflt)): n Files assumed to be labelled basename.ext, basename is limited to 255 characters maximum, ext is a numerical designator lying between 000 and 999 It is assumed that the files have consecutively numbered extensions ie. 000 -> 056, or 021 -> 049 Enter basename for tomographic file(s): ../tomog/sw Are file(s) compressed? [y,n]: y Enter first and last slice of data to use: 1 256 Slice size of data, (nx,ny): 256 256 Fiducial polygon generation NONE (N) MANUALLY set (M) Enter method: N Select computational dimension 3d (by volume) (v) 2d (by slice) (s) Enter choice (v,s(dflt)): v Enter basename for segmented file(s): ../seg/sw covariance/semivariogram information Available methods for estimating data correlations Classical semivariogram (v) Classical covariance (c) Moving window semivariogram (m) Enter choice (v,c,m): m Available directions for estimating correlations vertical (v) horizontal (h) isotropic (i) Enter choice (v,h,i): h Available correlation output formats covariance (c) semi_variogram (v) Enter choice (c,v): c Available methods for thresholding data are by Entropy function (e) Binormal mixing (m) User specified (u) Enter choice (e,m,u): u Enter void and material cut-off values: 60 100 Merge histogram files of variogram image (y,n(dflt)): n Enter the title for histogram: berea Enter the data label for histogram: sept00 Prepare raster files of segmented image (y,n(dflt)): y Merge raster files of segmented image (y,n(dflt)): n Enter voxel length in physical units: 4.93