case2.8: Comparison of 2-Pt Correlation Functions for Tomographic and Segmented Data Sets

 

Computes and compares graphically the 2-point correlation functions obtained on a tomographic and its corresponding segmented data set.

Input Data Options
	special purpose data requiring pre-processing (0)
	tomographic data (1)
	segmented data (2)
	burn data (3)
	medial axis data (4)
	throat data (5)
Enter choice: 2

Data Processing Options
	burn image (1)
	burn and compute LKC medial axis/surface (2)
	disconnected volume distribution (3)
	moment of inertia of disconnected components (4)
	plot image (5)
	convert data to/from ascii format (6)
	2-point covariance function (7)
	tomographic/segmented data covariance comparison (8)
	compress data in z direction (9)
	count voxels in spherical/cylindrical shells (10)
	set fiducial polygon exterior to grain phase (11)
	remove isolated voxel clusters from data (12)
Enter choice: 8

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)
Enter data type (ai,bi,sbi,bs,sbs,ubc,nc,na,kc,pa,sr8,sr24): bi

    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 files: ../../Examples/data/beads/beads
Are files compressed? [y,n]: y

Enter first and last slice of data to use: 250 250
Slice size of data, (nx,ny): 250 250

Enter basename for segmented files: ../../Examples/case1.5krig/mix/seg
Are files compressed? [y,n]: y

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)): s

	covariance/semivariogram information

Available methods for estimating data correlations
	Classical semivariogram     (v)
	Classical covariance        (c)
	Moving window semivariogram (m)
Enter choice (v,c,m): c

Available directions for estimating correlations
	vertical   (v)
	horizontal (h)
	isotropic  (i)
Enter choice (v,h,i): h

Enter maximum lag distance: 100

Enter incremental lag distance: 1

Available correlation output formats
	covariance     (c)
	semi_variogram (v)
Enter choice (c,v): c
Enter basename for covariance files: cov

Merge histogram files of variogram image (y,n(dflt)): n

Enter the title for histogram: beads

Enter the data label for histogram: \

Enter voxel length in physical units: 7