Back to Search
Start Over
Research on 3D crack segmentation of CT images of oil rock core
- Source :
- PLoS ONE, Vol 16, Iss 10, p e0258463 (2021), PLoS ONE
- Publication Year :
- 2021
- Publisher :
- Public Library of Science (PLoS), 2021.
-
Abstract
- In this paper, we propose a framework for CT image segmentation of oil rock core. According to the characteristics of CT image of oil rock core, the existing level set segmentation algorithm is improved. Firstly, an algorithm of Chan-Vese (C-V) model is carried out to segment rock core from image background. Secondly the gray level of image background region is replaced by the average gray level of rock core, so that image background does not affect the binary segmentation. Next, median filtering processing is carried out. Finally, an algorithm of local binary fitting (LBF) model is executed to obtain the crack region. The proposed algorithm has been applied to oil rock core CT images with promising results.
- Subjects :
- Computer science
Density
Social Sciences
Biochemistry
Diagnostic Radiology
Materials Physics
Medicine and Health Sciences
Image Processing, Computer-Assisted
Segmentation
Tomography
Multidisciplinary
Radiology and Imaging
Applied Mathematics
Simulation and Modeling
Physics
Lipids
Signal Filtering
Physical Sciences
Engineering and Technology
Medicine
Algorithms
Research Article
Matched Filters
Linguistic Morphology
Local binary fitting
Imaging Techniques
Science
Materials Science
Material Properties
Neuroimaging
Research and Analysis Methods
Image (mathematics)
Imaging, Three-Dimensional
Diagnostic Medicine
Median filter
business.industry
Matched filter
Biology and Life Sciences
Linguistics
Pattern recognition
Image segmentation
Computed Axial Tomography
Physical Properties
Binary segmentation
Signal Processing
Artificial intelligence
Rock core
Tomography, X-Ray Computed
business
Oils
Mathematics
Neuroscience
Subjects
Details
- ISSN :
- 19326203
- Volume :
- 16
- Database :
- OpenAIRE
- Journal :
- PLOS ONE
- Accession number :
- edsair.doi.dedup.....1affbd309bd5a79aaf21ce155f946945