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Hyperspectral Colour Classification (HCC)

Repository URI

https://www.repository.cam.ac.uk/handle/1810/303062

Repository DOI

https://doi.org/10.17863/CAM.49542
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Files

GRIGOROIU_HCC_Readme.txt (3.15 KB)
 DataHCC.part01.rar (1.5 GB)
 DataHCC.part02.rar (1.5 GB)
 DataHCC.part03.rar (1.5 GB)
 DataHCC.part04.rar (1.5 GB)

Type

Dataset

Change log

Authors

Bohndiek, Sarah  ORCID logo  https://orcid.org/0000-0003-0371-8635

Description

Dataset utilised for the training and testing of the spectral classification system for a line-scanning hyperspectral endoscope and the associated core algorithms. See the Readme file for a detailed description.

Version

Software / Usage instructions

Pixel-wise and Patch-based Convolutional Neural Networks (CNN) implemented in Python 3.6.4 using Theano 1.0.0. Support Vector Machine (SVM) implemented in Python 3.6.4 using sklearn 0.19.2. Spectral unmixing and Pearson Correlation Analyis implemented in Matlab R2018a. The NVIDIA GeForce GTX 1060 Graphical Processing Unit (GPU) was used for acceleration of the learning algorithms.

Keywords

hyperspectral imaging, convolutional neural networks, pearson correlation, spectral unmixing, support vector machines

Publisher

Rights and licensing

Attribution 4.0 International (CC BY 4.0)
Except where otherwised noted, this item's license is described as Attribution 4.0 International (CC BY 4.0)
Sponsorship
Engineering and Physical Sciences Research Council (EP/N014588/1)
Cancer Research UK (21102)
Engineering and Physical Sciences Research Council (EP/R003599/1)

Relationships

Supplements:
https://www.repository.cam.ac.uk/handle/1810/302170
https://doi.org/10.1038/s41598-020-60574-6

Collections

Research Data - Physics