Data · dataset · 2021
Monitoring water migration in crispy snacks using NIR
Listed in DANS Data Station Physical and Technical Sciences
In this project a prelimenary image preprocessing pipeline was developed to analyze Near-Infrared Spectroscopy Imaging data of components of crispy snacks, when imaged under different relative humidities.
Description
The preprocessing pipeline (in preprocessCrispySnacks.py) performs the following steps:. 1. Image data reading for all sets of measurements (directories) 2.
Image registration 3. Data reduction on the individual sets of measuerments individually by PCA 4. Data reduction on the concatenated set of all sets of measurements by PCA 5.
Read the rest (4 more)
Foreground/background segmentation by Gaussian Mixture modelling 6. Identification of inidividual containers from intersecting the foreground cluster with manually segmented containers. 7. Reorganizing the pixel-level data by container, by labelling pixel-level data with x,y coordinates and container label.
Only keeping labelled pixels 8. Saving pixel-level data as csv-file Which are further detailed in the comments within the Python script. This repository also contains several directories with imaging data from different relative humidities (as indicated by the directory names *awXX*.
The data were part of a larger project and were reused for this project. The only novel element is the preprocessing script in this repository. The data are added for users to be able to test the preprocessing pipeline.
Date Submitted: 2021-08-25
Links
Where it is published
- Dataverse dataset page phys-techsciences.datastations.nl/dataset.xhtml?persistentId=doi%3A10.17026%2FDANS-ZP7-6EV6 ↗
landing page · from phys techsciences datastations nl
- DOI doi.org/10.17026/dans-zp7-6ev6 ↗
DOI / persistent id · from phys techsciences datastations nl
Catalogue records · 1
- Dataverse API phys-techsciences.datastations.nl/api/datasets/:persistentId/?persistentId=doi%3A10.17026%2FDANS… ↗
metadata API · from phys techsciences datastations nl
Topics
- Stated by source
- Engineering
- From keywords
- Chemistry · Engineering
- Inferred from text
- Image 75% · Imaging 75% · Physical chemistry 72%
Provenance · 1 source records, 12 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| DANS Data Station Physical and Technical Sciences | doi:10.17026/DANS-ZP7-6EV6 | 12 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| concepts[field].anzsrc:group:3406 | enrichment · phys techsciences datastations nl | taxonomy-embedding@1.1.0 | title+keywords+description (72%) |
| concepts[field].dataverse_subject:engineering | source · phys techsciences datastations nl | connector:phys_techsciences_datastations_nl@1.0.0 | /subjects |
| concepts[field].local:field:chemistry | mapping · phys techsciences datastations nl | connector:phys_techsciences_datastations_nl@1.0.0 | /subjects |
| concepts[field].local:field:engineering | mapping · phys techsciences datastations nl | connector:phys_techsciences_datastations_nl@1.0.0 | /subjects |
| concepts[modality].local:modality:image | enrichment · phys techsciences datastations nl | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[modality].local:modality:imaging | enrichment · phys techsciences datastations nl | keyword-concept-rules@1.0.0 | title+description (75%) |
| created_date | source · phys techsciences datastations nl | connector:phys_techsciences_datastations_nl@1.0.0 | |
| description | source · phys techsciences datastations nl | connector:phys_techsciences_datastations_nl@1.0.0 | /description |
| publication_date | source · phys techsciences datastations nl | connector:phys_techsciences_datastations_nl@1.0.0 | |
| title | source · phys techsciences datastations nl | connector:phys_techsciences_datastations_nl@1.0.0 | /name |
| updated_date | source · phys techsciences datastations nl | connector:phys_techsciences_datastations_nl@1.0.0 | |
| version_label | source · phys techsciences datastations nl | connector:phys_techsciences_datastations_nl@1.0.0 |