Unknown

Dataset Information

0

Research on 3D crack segmentation of CT images of oil rock core.


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.

SUBMITTER: Zou Y 

PROVIDER: S-EPMC8516274 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature

altmetric image

Publications

Research on 3D crack segmentation of CT images of oil rock core.

Zou Yongning Y   Yao Gongjie G   Wang Jue J  

PloS one 20211014 10


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 filterin  ...[more]

Similar Datasets

| S-EPMC4450142 | biostudies-literature
| S-EPMC9854669 | biostudies-literature
| S-EPMC8623821 | biostudies-literature
| S-EPMC7915503 | biostudies-literature
| S-EPMC5635475 | biostudies-other
| S-EPMC10233136 | biostudies-literature
| S-EPMC10799452 | biostudies-literature
| S-EPMC7652839 | biostudies-literature
| S-EPMC8670388 | biostudies-literature
| S-EPMC4658120 | biostudies-literature