Dataset with results of "Detecting internal disorders in fruit by CT. Part 1: Joint 2D to 3D image registration workflow for comparing multiple slice photographs and CT scans of apple fruit"

  • Dirk Elias Schut (Creator)
  • Rachael Wood (Creator)
  • Anna Katharina Trull (Creator)
  • Rob Schouten (Creator)
  • Robert van Liere (Creator)
  • Tristan van Leeuwen (Creator)
  • Kees Joost Batenburg (Creator)

Dataset

Description

This dataset contains all results from the paper "Detecting internal disorders in fruit by CT. Part 1: Joint 2D to 3D image registration workflow for comparing multiple slice photographs and CT scans of apple fruit". Most notably, this dataset contains the corresponding CT slices for slice photographs of 1347 'Kanzi' apples. This dataset also contains data of the results section, metadata required to make the registration code run, and segmentation masks of the apple slice photographs. The "raw" data that was used to produce these results can be found in another Zenodo dataset: https://zenodo.org/record/8167285.

Description

registered ct photo side-by-side view.zip is the easiest way to explore the registered CT photo image pairs. For every apple slice it contains a .png image consisting of the slice photo, registered CT slice and a combined view (photo=green, CT=purple) side-by-side. The resolution was reduced to reduce the file size.
registered ct slices.zip contains the full resolution CT slices as .tiff files. The matching slice photos can be found in slice_photos_crop.zip in https://zenodo.org/record/8167285.
photo metadata.zip contains all metadata files required to run the code on https://github.com/D1rk123/apple_photo_ct_workflow.
results.zip contains the IPCED annotations and per apple metrics that were used to calculate all the average metrics and tables in the results section of the paper.
subset experiment registered annotation slice.zip contains the full resolution CT slices of the annotation slice in the subset experiment as .tiff files.
segmentation masks.zip contains slice photo segmentation masks as .png images. There are subfolders for the training set, the test set and the masks used for the workflow in the paper.


Research group
This dataset was produced by the Computational Imaging group at Centrum Wiskunde & Informatica (CI-CWI) in Amsterdam, The Netherlands: https://www.cwi.nl/research/groups/computational-imaging

Contact details
dirk [dot] schut [at] cwi [dot] nl

Acknowledgments
This work was funded by the Dutch Research Council (NWO) through the UTOPIA project (ENWSS.2018.003).
Date made available23 Aug 2023
PublisherCentrum Wiskunde and Informatica (CWI)

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