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- Title
Automated Measurement of Geometric Features in Curvilinear Structures Exploiting Steger's Algorithm.
- Authors
Giulietti, Nicola; Chiariotti, Paolo; Revel, Gian Marco
- Abstract
Accurately assessing the geometric features of curvilinear structures on images is of paramount importance in many vision-based measurement systems targeting technological fields such as quality control, defect analysis, biomedical, aerial, and satellite imaging. This paper aims at laying the basis for the development of fully automated vision-based measurement systems targeting the measurement of elements that can be treated as curvilinear structures in the resulting image, such as cracks in concrete elements. In particular, the goal is to overcome the limitation of exploiting the well-known Steger's ridge detection algorithm in these applications because of the manual identification of the input parameters characterizing the algorithm, which are preventing its extensive use in the measurement field. This paper proposes an approach to make the selection phase of these input parameters fully automated. The metrological performance of the proposed approach is discussed. The method is demonstrated on both synthesized and experimental data.
- Subjects
CRACKING of concrete; REMOTE-sensing images; ALGORITHMS; QUALITY control; PARAMETER identification; ISOGEOMETRIC analysis; LANDSAT satellites
- Publication
Sensors (14248220), 2023, Vol 23, Issue 8, p4023
- ISSN
1424-8220
- Publication type
Article
- DOI
10.3390/s23084023