smo216 / segmentationcheck

Code for calculating volume fraction of a phase using image processing techniques in XMT images

#SegmentationCheck This code is developed to analyze XMT (X-ray microtomography) images from aluminium copper samples. Fig1 shows a reconstruted volume from a set of XMT images.

fig1. Reconstruced volume from XMT images.

##Code Description First section of the code, `comp()`, is used to convert mass fraction to volume fraction in eutectic alloys, using either Schiel equation or lever rule depending on user's intentions. Second section, `VolFracTomog()`, is used to calculate the area fraction of the secondary phase in a micrograph. User can implement K-means method, use their own threshold array or use Ostu's method to segment the image. The code then can be used to iterate over a number of images, this is specially useful if the user is inteding to determine the volume fraction of a phase in XMT images. The thir bit of the code is a custom code to generate a plot for a specific problem, user may write their own code to visualize their results. ##Sample results For this case, I have run this code for 4 different materials. Note that close to 11000 XMT images (fig2) were analyzed in the process.

fig2. Sample XMT image.

A sample result image has also been generated (fig3). Note that this is only a sample illustration and does not represent the actual results generated from the XMT images.

fig3. Sample illustartion of the results.

# Tested versions These scripts have been tested using: - Python 2.7.11 Anaconda 2.3.0