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

Title:
Classification of gravure printed patterns using singular value decomposition and machine learning (MATLAB code)
Publication Year:
2023
Collection:
TUdatalib Repository (TU Darmstadt)
Time:
660, 620
Document Type:
Fachzeitschrift text<br />still image<br />software
File Description:
text/plain; application/zip; application/octet-stream
Language:
English
DOI:
10.48328/tudatalib-1152
Rights:
CC-BY-NC-4.0
Accession Number:
edsbas.F81964EE
Database:
BASE

Weitere Informationen

This dataset contains MATLAB code ('code_MachLearn_ImgClass.zip') for automated classification of gravure printed patterns from the [HYPA-p](https://doi.org/10.48328/tudatalib-1150) 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.