Micro-computed tomography of sandstone rocks: Raw, filtered and segmented datasets

Area of Science:

• Scientific imaging
• Computational physics
• Materials science

Background:

• High-resolution computed micro-tomography (HRXCT) is vital for experimental validation and computational physics.
• HRXCT data serves as input for diverse scientific simulation models.
• The development of advanced imaging datasets is essential for scientific progress.

Purpose of the Study:

• To present a comprehensive dataset of high-resolution computed micro-tomography images.
• To provide raw, filtered, and segmented image data for research applications.
• To facilitate advanced computational physics studies using realistic imaging inputs.

Main Methods:

• Utilized Bruker Skyscan 1272 X-Ray tomograph for image acquisition.
• Applied contrast enhancement and noise reduction filters for image processing.
• Employed the IsoData segmentation method for image analysis.

Main Results:

• Generated a dataset of high-resolution (2.25 µm isometric voxels) 1000³ voxel images.
• Dataset includes raw grayscale, filtered, and segmented image data.
• The data is suitable for direct use in scientific simulation models.

Conclusions:

• The presented dataset enhances research in computational physics and materials science.
• Availability of processed HRXCT data accelerates scientific discovery.
• This dataset serves as a valuable resource for validating simulation models.