Comparison of Hough Transform and Mean Shift Algorithm for Estimation of the Orientation Angle of Industrial Data Matrix Codes
Saved in:
| Title: | Comparison of Hough Transform and Mean Shift Algorithm for Estimation of the Orientation Angle of Industrial Data Matrix Codes |
|---|---|
| Authors: | Ion-Cosmin Dita, Vasile Gui, Franz Quint, Marius Otesteanu |
| Publisher Information: | Zenodo |
| Publication Year: | 2012 |
| Collection: | Zenodo |
| Subject Terms: | Industrial data matrix code, Hough transform, mean shift |
| Description: | In automatic manufacturing and assembling of mechanical, electrical and electronic parts one needs to reliably identify the position of components and to extract the information of these components. Data Matrix Codes (DMC) are established by these days in many areas of industrial manufacturing thanks to their concentration of information on small spaces. In today’s usually order-related industry, where increased tracing requirements prevail, they offer further advantages over other identification systems. This underlines in an impressive way the necessity of a robust code reading system for detecting DMC on the components in factories. This paper compares two methods for estimating the angle of orientation of Data Matrix Codes: one method based on the Hough Transform and the other based on the Mean Shift Algorithm. We concentrate on Data Matrix Codes in industrial environment, punched, milled, lasered or etched on different materials in arbitrary orientation. |
| Document Type: | article in journal/newspaper |
| Language: | English |
| Relation: | https://zenodo.org/communities/waset/; https://zenodo.org/records/1072603; oai:zenodo.org:1072603; https://doi.org/10.5281/zenodo.1072603 |
| DOI: | 10.5281/zenodo.1072603 |
| Availability: | https://doi.org/10.5281/zenodo.1072603 https://zenodo.org/records/1072603 |
| Rights: | Creative Commons Attribution 4.0 International ; cc-by-4.0 ; https://creativecommons.org/licenses/by/4.0/legalcode |
| Accession Number: | edsbas.536E3232 |
| Database: | BASE |
Nájsť tento článok vo Web of Science Be the first to leave a comment!