Sugar III

The CobWeb work package in cooperation with APS Antriebs-, Prüf- und Steuertechnik GmbH under the SUGAR III undertakes the the development a Graphical User Interface (GUI), and to analyze high resolution X-ray computer tomography (XCT), Acoustic Emission and Ultrasound data analysis.

The XCT module of the CobWeb software is finalized and tested. The main advantage of CobWeb to commercially available XCT software’s is the using of Machine Learning libraries for 3D grayscale segmentation. The new workflow technique renders high accuracy and precision towards digital rock physics analysis.

The current version is capable to read and process (reconstructed) XCT files in .tiff and .raw format. Tools to zoom in, zoom out, cropping, color scale assist in understanding the XCT data better. Noise filters such as, non-local means, anisotropic diffusion, median and contrast adjustments are implemented to increase signal to noise ratio. The user has a choice of five segmentation algorithms namely, Kmeans, Fuzzy C-means (unsupervised), Support vector machine (supervised), Bragging and Boosting (ensemble classifiers) for accurate segmentation and cross-validation. Material properties like relative porosity's, pore size distribution, volume fraction (pore, matrix, mineral phases) can be calculated and visualized. The software runs stable on windows 7 and 8.