S. El Mejdani
Papers
1
Total Citations
29
H-Index
1
About
S. El Mejdani is a researcher whose work centers on computer vision and image processing, with a particular focus on the detection and analysis of geometric primitives. Their most cited contribution, "Old and new straight-line detectors: Description and comparison" (2007), with 29 citations, provides a comprehensive survey and comparative evaluation of line detection algorithms. This work is notable for systematically categorizing classical and modern approaches—from Hough transform variants to perceptual grouping methods—offering clear criteria for their performance in terms of accuracy, robustness, and computational cost. By synthesizing decades of research into a single accessible framework, El Mejdani has helped guide both newcomers and experienced practitioners in selecting appropriate detectors for applications like document analysis, industrial inspection, and autonomous navigation. The paper’s enduring relevance is reflected in its continued citation as a foundational reference in the field. El Mejdani’s contributions exemplify the value of rigorous comparative studies in advancing practical computer vision systems.
Research Focus
Key Achievements
Top Papers
- 1Old and new straight-line detectors: Description and comparison29 citations · 2007