Zobrazeno 1 - 10
of 40
pro vyhledávání: '"Ivan Yakimchuk"'
Publikováno v:
Proceedings of the XXth Conference of Open Innovations Association FRUCT, Vol 28, Iss 1, Pp 181-193 (2021)
Ring artifacts are typical defects of computed tomography (CT) that degrade the quality of a 3D reconstructed image. Existing techniques for a ring reduction have various shortcomings and limitations, in particular, a lot of them are unable to proces
Externí odkaz:
https://doaj.org/article/9734c6971c894f0f9cdf1f97081bfd06
Publikováno v:
Proceedings of the XXth Conference of Open Innovations Association FRUCT, Vol 26, Iss 1, Pp 200-206 (2020)
Ring artifacts are inevitable in microtomographic images. In Digital Rock workflow such defects might affect subsequent segmentation and flow simulation. We propose correction of ring artifacts in reconstructed microtomographic image by inpainting. O
Externí odkaz:
https://doaj.org/article/546ab810df234ccfac6587ab075266d4
Publikováno v:
Proceedings of the XXth Conference of Open Innovations Association FRUCT, Vol 854, Iss 24, Pp 170-178 (2019)
The paper considers a new algorithm for blind quality assessment of a slice of X-ray microtomographic image. We selected the following factors impacting on micro-CT image quality with respect to Digital Rock technology: smoothness, sharpness, contras
Externí odkaz:
https://doaj.org/article/ef19e42c17804725b7d8c9f98e20a120
Publikováno v:
Proceedings of the XXth Conference of Open Innovations Association FRUCT, Vol 854, Iss 24, Pp 351-359 (2019)
Focused ion beam tomography (FIB-SEM) is one of the promising methods for studying materials microstructure. The result of the procedure is an image stack of sequential layers of a sample. The reconstruction of the 3D porous structure from FIB-SEM da
Externí odkaz:
https://doaj.org/article/88afd2cf36d74478a3fc82dd1c449fcf
Publikováno v:
Journal of Imaging, Vol 8, Iss 5, p 127 (2022)
Watershed is a widely used image segmentation algorithm. Most researchers understand just an idea of this method: a grayscale image is considered as topographic relief, which is flooded from initial basins. However, frequently they are not aware of t
Externí odkaz:
https://doaj.org/article/b8db33f21a3344cabb30d2fc33fbaf39
Publikováno v:
Journal of Imaging, Vol 6, Iss 10, p 107 (2020)
Focused Ion Beam Scanning Electron Microscopy (FIB-SEM) tomography provides a stack of images that represent serial slices of the sample. These images are displaced relatively to each other, and an alignment procedure is required. Traditional methods
Externí odkaz:
https://doaj.org/article/a672d2fb52f542d9b7031b5dcfba7265
Publikováno v:
Computers, Vol 8, Iss 4, p 72 (2019)
Image segmentation is a crucial step of almost any Digital Rock workflow. In this paper, we propose an approach for generation of a labelled dataset and investigate an application of three popular convolutional neural networks (CNN) architectures for
Externí odkaz:
https://doaj.org/article/4de4ca9e207546dc9b6561c4538ac773
Publikováno v:
Journal of Imaging, Vol 4, Iss 11, p 134 (2018)
We present image processing algorithms for a new technique of ceramic proppant crush resistance characterization. To obtain the images of the proppant material before and after the test we used X-ray microtomography. We propose a watershed-based unsu
Externí odkaz:
https://doaj.org/article/0fdc9aaf93fe4bf78d85cfdebf08a7a9
Publikováno v:
Proceedings of the XXth Conference of Open Innovations Association FRUCT, Vol 28, Iss 1, Pp 181-193 (2021)
FRUCT
FRUCT
Ring artifacts are typical defects of computed tomography (CT) that degrade the quality of a 3D reconstructed image. Existing techniques for a ring reduction have various shortcomings and limitations, in particular, a lot of them are unable to proces
Publikováno v:
Proceedings of the XXth Conference of Open Innovations Association FRUCT, Vol 26, Iss 1, Pp 200-206 (2020)
FRUCT
FRUCT
Ring artifacts are inevitable in microtomographic images. In a Digital Rock workflow, such defects might affect the subsequent segmentation and flow simulation. We propose a correction of ring artifacts in reconstructed microtomographic images by inp