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Simulated X-ray computed tomography (XCT) and ground truth images of cylindrical sample with randomly distributed spherical pores

X-ray computed tomography (XCT) datasets with known ground truth pores were developed using realistic XCT simulation. Non-overlapping spherical pores of varying sizes are randomly distributed in a cylindrical part near surfaces and within the core. Ground truth data, ground truth binary data, and reconstructed data for three different signal-to-noise ratios (SNRs) are provided. The data set can be used for evaluation and comparison of image segmentation/detection algorithms.

About this Dataset

Updated: 2024-02-22
Metadata Last Updated: 2022-07-15 00:00:00
Date Created: N/A
Data Provided by:
Dataset Owner: N/A

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Title Simulated X-ray computed tomography (XCT) and ground truth images of cylindrical sample with randomly distributed spherical pores
Description X-ray computed tomography (XCT) datasets with known ground truth pores were developed using realistic XCT simulation. Non-overlapping spherical pores of varying sizes are randomly distributed in a cylindrical part near surfaces and within the core. Ground truth data, ground truth binary data, and reconstructed data for three different signal-to-noise ratios (SNRs) are provided. The data set can be used for evaluation and comparison of image segmentation/detection algorithms.
Modified 2022-07-15 00:00:00
Publisher Name National Institute of Standards and Technology
Contact mailto:[email protected]
Keywords X-ray computed tomography , defect , flaw , additive manufacturing , image segmentation , evaluation metrics , ground truth data , Non-destructive evaluation
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    "title": "Simulated X-ray computed tomography (XCT) and ground truth images of cylindrical sample with randomly distributed spherical pores",
    "description": "X-ray computed tomography (XCT) datasets with known ground truth pores were developed using realistic XCT simulation. Non-overlapping spherical pores of varying sizes are randomly distributed in a cylindrical part near surfaces and within the core. Ground truth data, ground truth binary data, and reconstructed data for three different signal-to-noise ratios (SNRs) are provided. The data set can be used for evaluation and comparison of image segmentation\/detection algorithms.",
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