2020/07/06 by Maxim Grigoriev, Anvar Khafizov, Grigoriev, Maxim +5
Computer Science · Engineering · #Computational Physics (physics.comp-ph) #Computer Vision and Pattern Recognition (cs.CV) #Enhanced Oil Recovery Techniques #FOS: Computer and information sciences #FOS: Physical sciences #Hydrocarbon exploration and reservoir analysis #Medical Image Segmentation Techniques
paper · pdf · doi:10.48550/arxiv.2007.03035
openalex publication_date 2020/07/06 · openalex created_date 2022/07/26 · openalex updated_date 2026/07/28
Microtomography is a powerful method of materials investigation. It enables\nto obtain physical properties of porous media non-destructively that is useful\nin studies. One of the application ways is a calculation of porosity, pore\nsizes, surface area, and other parameters of metal-ceramic (cermet) membranes\nwhich are widely spread in the filtration industry. The microtomography\napproach is efficient because all of those parameters are calculated\nsimultaneously in contrast to the conventional techniques. Nevertheless, the\ncalculations on Micro-CT reconstructed images appear to be time-consuming,\nconsequently representative volume element should be chosen to speed them up.\nThis research sheds light on representative elementary volume identification\nwithout consideration of any physical parameters such as porosity, etc. Thus,\nthe volume element could be found even in noised and grayscale images. The\nproposed method is flexible and does not overestimate the volume size in the\ncase of anisotropic samples. The obtained volume element could be used for\ncomputations of the domain's physical characteristics if the image is filtered\nand binarized, or for selections of optimal filtering parameters for denoising\nprocedure.\n