Main Menu 1: Operations performed on Tomographic Data

• case1.1: Generate Images of Input Data
• case1.1_ras: Generate Rasterfile Images
• case1.1a_ras: Generate Rasterfile Images with Fiducial Polygon
• case1.1g_ras: Generate Rasterfile Images without Fiducial Polygon
• case1.1_expl: Generate Iris Explorer 3D Image File
• case1.2: Generate Attenuation Coefficient Histograms
• case1.2/case1.2a.in: Generate Attenuation Coefficient Histograms with Fiducial Polygon
• case1.2/case1.2g.in: Generate Attenuation Coefficient Histograms without Fiducial Polygon
• case1.2/case1.2l.in: Generate Attenuation Coefficient Histograms without Fiducial Polygon
• case1.3: Extract a Rectangular Subvolume of a Data Set
• case1.4: Generate Circular Fiducial Polygon
• case1.5dfn.slc: Segment Data using Anisotropic Diffusion Method on each Slice Separately
• case1.5dfn.vol: Segment Data using Anisotropic Diffusion Method on 3D Data Set
• case1.5krig: Segment Data Using Indicator Kriging
• case1.5krig/case1.5ent.in: Indicator Kriging on Data Slices with Threshold Window Chosen by Entropy Function
• case1.5krig/case1.5ent3d.in: Indicator Kriging on 3D Data Set with Threshold Window Chosen by Entropy Function
• case1.5krig/case1.5mix.in: Indicator Kriging on Data Slices with Threshold Window Chosen by Binormal Mixture Fit
• case1.5krig/case1.5mix3d.in: Indicator Kriging on 3D Data Set with Threshold Window Chosen by Binormal Mixture Fit
• case1.5mh: Segment Data Using Mardia-Hainsworth Algorithm
• case1.5mh/case1.5mh.in: Mardia-Hainsworth Segmentation on Data Slices
• case1.5mh/case1.5mh.in: Mardia-Hainsworth Segmentation on 3D Data Set
• case1.5smpl: Segment Data Using Simple Threshold
• case1.6: Investigate Porosity Dependence of Threshold Choice
• case1.6/case1.6a: Porosity vs. Threshold: File-by-File Scaling
• case1.6/case1.6g: Porosity vs. Threshold: Global Scaling
• case1.6/case1.6gu: Porosity vs. Threshold: Global Scaling with User Selected Range
• case1.7: Investigate Free Parameter in Anisotropic Diffusion Method
• case1.8: Investigate Application of Threshold Value on Diffused Images.
• case1.8/case1.8s: Single threshold applied to slice diffused with multiple K values
• case1.8/case1.8md: Multiple thresholds applied to single K slice
• case1.8/case1.8mr: Multiple thresholds applied to a single slice of the original data set
• case1.9: Plot Gradient of Image Intensity
• case1.10: Compress Slices