A New Workflow of X-Ray CT Image Processing and Data Analysis of Structural Features in Rock Using Open-Source Software

Details

• Personal Author:
  Crandall DM ; Gupta, Kailash ; Mishra B
• Description:
  X-ray computed tomography (CT) images of rock specimens often contain artifacts which must be corrected before scientific analyses are performed. This paper presents a new workflow of automated image processing to utilize poor-quality X-ray CT scan images. The workflow runs on the open-source image analysis software and efficiently separates desired features from low-contrast scanned images. The new workflow is a two-step technique using contrast enhancement and automated feature segmentation to generate noise-free binary images. The results of binary images using the proposed workflow and using a conventional thresholding technique are analyzed to show the quality of the proposed method. The paper also presents a workflow of estimating the structural geometries of features in two and three dimensions. The results of the structural feature analyses and computational time were compared between the open-source (ImageJ) and commercial image analysis software (Bruker Computed Tomography Analyzer). The commercial software was more computationally efficient, but the task-specific macros in open-source software enabled the user-desired automation in image processing and data extraction of desired structural features of comparable quality. [Description provided by NIOSH]
• Subjects:
  Automation Occupational Health Radiography Safety Software
• Keywords:
  Author Keywords: Fracture Geometry Bruker CTAn Computer Applications Geologic Structures Geophysics GNU Octave Image Analysis ImageJ Imaging Techniques Mining Engineering Rock Mechanics Structural Analysis X-ray Analysis X-ray CT Scan

  More +
• ISSN:
  2524-3462
• Document Type:
  Text
• Funding:
  Contract
• Genre:
  Journal Article
• Place as Subject:
  OSHA Region 3 ; West Virginia
• CIO:
  National Institute for Occupational Safety and Health (NIOSH)
• Topic:
  Workplace Safety & Health
• Location:
  North America
• Volume:
  39
• Issue:
  5
• NIOSHTIC Number:
  nn:20066094
• Citation:
  Min Metall Explor 2022 Oct; 39(5):2011-2024
• Contact Point Address:
  Brijes Mishra, Mining Engineering, West Virginia University, Morgantown, WV 26505, USA
• Email:
  brijes.mishra@mail.wvu.edu
• Federal Fiscal Year:
  2023
• Performing Organization:
  West Virginia University
• Peer Reviewed:
  True
• Start Date:
  20160914
• Source Full Name:
  Mining, Metallurgy & Exploration
• End Date:
  20200831
• Collection(s):
  National Institute for Occupational Safety and Health
• Main Document Checksum:
  urn:sha-512:0b7d8d11942b6e2c34070741f88785b29de28cbc64f3c5d28460c357a0f97853bbe552a4d53ba5122a5930885e27bcc78ca966771c8b3efa57b26fb7e0c43129
• Download URL:
  https://stacks.cdc.gov/view/cdc/212611/cdc_212611_DS1.pdf
• File Type:
  [PDF - 4.91 MB ]