Copy Measure Annotation Settings
Tcl
15 Apr 2020 - This Tcl script-object can be used to copy visualisation settings from one measure to all others in a Measurement module. It is also possible to save/load settings to/from a text file. Learn more
Tcl
15 Apr 2020 - Use this module to fill the text field of a Caption module with the value of a port of another module. Learn more
Scale-Space Laplacian of Gaussian Filter
Python (pyscro)
15 Apr 2020 - Image processing filter enhancing spherical or blob like objects of various sizes. Learn more
Amira User's Guide translated to Japanese
Demo, Misc
29 Jan 2020 - You will find here a large selection of Amira tutorials translated to Japanese. Learn more
Tcl
13 Dec 2019 - This module creates label annotations from the result of a Label Analysis with the help of the Measurement tool. Learn more
Python (pyscro), Project (hx, pgo)
21 Oct 2019 - The purpose of this python script object is to average interleaved data. Learn more
2D SEM (White) Grain Segmentation
Recipe (hxrecipe), Data
21 Oct 2019 - This recipe segments and calculate the physical attributes of the white grains in the 2D SEM image Learn more
Load a Numpy array into PerGeos/Amira-Avizo using the Python API
Python (pyscro)
21 Oct 2019 - This script simply reads and loads numpy arrays in a user specified directory into PerGeos/Amira-Avizo as an image. Learn more
Random Forests for Multiclass Segmentation using Python API in PerGeos
Python (pyscro), Project (hx, pgo), Data
21 Oct 2019 - Simple demonstration of feature computation where the feature vector contains intensity and 2D eigenvalues (X & Y). This example uses random forests implementation from the sklearn package. Learn more
Recipe (hxrecipe), Project (hx, pgo), Demo, Data
21 Oct 2019 - This tutorial demonstrated how to quantify thickness distribution along the length Learn more
Porosity Clustering Analysis and Distance to Surface
Recipe (hxrecipe), Project (hx, pgo), Demo, Data
21 Oct 2019 - This tutorial demonstrates the steps necessary to quantify porosity distribution and perform a pore distance to surface analysis. Learn more
Cracks and Cavities Segmentation in CT Data
Recipe (hxrecipe), Data
21 Oct 2019 - This recipe is useful to segment data with cracks, pores, or cavities. Learn more
Feature segmentation for non-uniform illumination and low-contrast images
Recipe (hxrecipe)
17 Oct 2019 - The recipe lets you segment small features on images with non-uniform illumination and low contrast. Learn more
Python (pyscro)
17 Oct 2019 - This module allows the user to compute the volume fraction per separated region depending on depth from the surface of a segmented object. Learn more
Eagleford Shale FIB-SEM Segmentation
Recipe (hxrecipe)
17 Oct 2019 - This recipe guided workflow will result in a 5-phase segmentation applicable to the included dataset and most typical FIB-SEM data. Input Data, the Recipe, Output data are included here. Learn more
Tcl
16 Oct 2019 - Automatically crop your volume data to reduce its size. Learn more
Simulation-Based Tortuosity Estimation of Porous Media
Tcl
16 Oct 2019 - Tortuosity is a key factor for material characterization of porous media. This package provides four methods for calculating the tortuosity factor based on these xlab properties: Absolute Permeability, Molecular Diffusion, Formation Factor, and Thermal Con Learn more
PerGeos TCL script for processing all files in a folder with a recipe
Tcl
16 Oct 2019 - Process all files in a folder by applying the same recipe to all of them individually. Learn more
Different methods to measure the volume of fibers generated by XFiber extension
Project (hx, pgo), Demo
16 Oct 2019 - This guideline aims to identify different ways to analyze the volume fraction of fibers traced by the XFiber extension. Learn more
Recipe (hxrecipe), Demo, Data
16 Oct 2019 - The calculation of a relative pore fraction for each separated grains. Learn more
Export Spatial Graph to MS Excel XML document
Recipe (hxrecipe), Tcl, Demo
16 Oct 2019 - An Amira-Avizo recipe to export to a XML document which can be used in MS Excel for further analysis. Learn more