Classification of gravure printed patterns using singular value decomposition and machine learning (MATLAB code)

This dataset contains MATLAB code ('code_MachLearn_ImgClass.zip') for automated classification of gravure printed patterns from the HYPA-p dataset. The developed algorithm performs singular value decomposition (SVD) and training of several machine learning classifiers, such as k-Nearest Neighbors (kNN). The classifiers are trained and tested on labeled data. Afterwards, the trained classifiers can be used for automated classification of unlabeled data.

Further information can be found in the provided README-file.

Identifier
Source https://tudatalib.ulb.tu-darmstadt.de/handle/tudatalib/3843
Metadata Access https://tudatalib.ulb.tu-darmstadt.de/oai/openairedata?verb=GetRecord&metadataPrefix=oai_datacite&identifier=oai:tudatalib.ulb.tu-darmstadt.de:tudatalib/3843
Provenance
Creator Rothmann-Brumm, Pauline
Publisher TU Darmstadt
Contributor Deutsche Forschungsgemeinschaft; TU Darmstadt
Publication Year 2023
Funding Reference Deutsche Forschungsgemeinschaft info:eu-repo/grantAgreement/DFG/SFB1194/TPC01Dörsam
Rights Creative Commons Attribution-NonCommercial 4.0; info:eu-repo/semantics/openAccess
OpenAccess true
Contact https://tudatalib.ulb.tu-darmstadt.de/page/contact
Representation
Language English
Resource Type Text
Format text/plain; application/zip; application/octet-stream
Discipline Other