Computation of the medial surface of a segmented object based upon an early Lee-Lindquist algorithm. The resultant medial surface tends to be noisy and does not preserve connectivity. It should not be used.
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: 3
Data Processing Options resize and print (1) histogram and fit burn data (2) compute medial surface by burn algorithm (3) compute medial axis/surface by LKC algorithm (4) convert data to/from ascii format (5) Enter choice: 3
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 burned files: ../../Examples/case2.1/burn Are files compressed? [y,n]: y
Enter first and last slice of data to use: 1 5
Exclude the first or last slices to compensate for lack of information beyond the end slices? [(n)one, (f)irst, (l)ast, (b)oth]: n
Enter basename for medial axis files: pma Are files to be compressed? [y,n]: y For pore medial axis voxels generated by 90 degree burns, drop those voxels that neighbor grains (y,n(dflt)): n
Would you like a raster format printout displaying the fit of the fiducial polygon (y,n(dflt)): n