Research Objective No. 3, MATLAB code
Abstract
Version_2026_03_03. This is the first version of code for automatic detection and vectorization of extracted elements in an image. Its current workflow makes it possible to identify the color spectrum, segment individual elements, and subsequently vectorize them. At present, the issues of shadows and poor input image quality have not yet been resolved.Related publications:Vrtal, P., Svatý, Z., Kohout, T., Nouzovský, L., & Blodek, T. (2025). Methods for Identification and Vectorization of Traffic Elements from Orthographic Images. Transportation Research Procedia, 91, 297–304. https://doi.org/10.5281/zenodo.18850639Svatý, Z., Vrtal, P., Nouzovský, L., & Nováček, J. (2025). Automatic Identification and Vectorization of Traffic Infrastructure Features from Orthophoto Images. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, X-5/W3-2025, 41–47. https://doi.org/10.5281/zenodo.18850539
Fields of Study & Subjects
Automated Road and Building Extraction
Infrastructure Maintenance and Monitoring
Advanced Neural Network Applications
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 3 March 2026
- Language
- CS