A. Mohamed

Papers

Total Citations

H-Index

About

A. Mohamed is a researcher in digital image processing and computer vision, with a particular focus on edge detection techniques that underpin critical tasks like image segmentation, object recognition, and scene interpretation. Their most cited work, "New Method Based on Multi-Threshold of Edges Detection in Digital Images" (2014, 4 citations), introduces a refined approach to identifying object boundaries—a foundational step for applications ranging from robotics to medical imaging. By advancing multi-threshold edge detection, Mohamed contributes to more accurate and robust image analysis, enabling machines to better classify and interpret visual data. While their citation count remains modest, this work reflects a targeted effort to solve persistent challenges in low-level vision, where precise edge detection directly impacts higher-level tasks like feature extraction and registration. Mohamed’s research holds practical significance for autonomous systems and automated inspection, demonstrating how incremental improvements in core algorithms can drive broader technological progress. Their work stands as a building block for students and engineers seeking to understand the fundamentals of image processing and its real-world applications in intelligent systems.