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) fluid data (6) Enter choice: 2 Data Processing Options plot image (1) resize data (2) disconnected volume distribution (3) clean up segmented files (4) burn and compute LKC medial axis/surface (5) moment of inertia of disconnected components (6) convert data to/from ascii format (7) 2-point covariance function (8) tomographic/segmented data covariance comparison (9) compress data in z direction (10) count voxels in spherical/cylindrical shells (11) set fiducial polygon exterior to grain phase (12) overlay segmented and tomographic images (13) pore erosion disconnectivity analysis (14) Enter choice: 4 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 input segmented files: ../seg/oil Are files compressed? [y,n]: y Enter first and last slice of data to use: 1 100 Input data can be inverted to compute burn/medial axis of grain space rather than void space. Invert data (y,n(dflt))?: y Fiducial polygon generation methods NONE (N) MANUAL (M) AUTOMATIC (A) Enter method: N Correct for ring artifacts? (y,n(dflt)): n The material/void boundary can be lightly smoothed. Available options are 0) no conversion or convert those boundary voxels having 1) exactly one neighbor of the same type 2) less than a majority of neighbors of the same type Enter choice (0(dflt),1,2): 0 Isolated clusters of grain and/or pore voxels up to a specifed size can be assumed to be misidentified and converted to the opposite material type. Convert isolated grain clusters? (y,n): y Enter maximum allowed size (number of voxels) for convertible isolated grain cluster: 50 Convert isolated pore clusters? (y,n): y Enter maximum allowed size (number of voxels) for convertible isolated pore cluster: 50 Enter basename for output segmented files: ../c_seg/oil Are files to be compressed? [y,n]: y Prepare raster files of corrected segmented image (y,n(dflt)): y Enter basename for raster files: ../c_seg/oil Merge raster files of segmented image (y,n(dflt)): n