M. Chithambarathanu
Papers
1
Total Citations
12
H-Index
1
About
M. Chithambarathanu is a researcher whose work sits at the intersection of image processing and computational intelligence, with a particular focus on edge detection and fuzzy logic systems. Their most-cited paper, "RGB Image Edge Detection Using Fuzzy Logic to Infer The Function Of Triangle And Trapezoidal Key Members" (2021, 12 citations), introduces a novel approach to extracting meaningful boundaries from visual data—a critical step in applications ranging from robotics and remote sensing to clinical image analysis. By leveraging fuzzy logic with triangular and trapezoidal membership functions, Chithambarathanu addresses the challenge of reducing large volumes of image information into organizable, actionable data. This contribution is especially valuable for interpreting satellite imagery and wasteland analysis, where precision in edge detection directly impacts decision-making. While their citation count reflects a growing recognition, the work stands out for its practical integration of fuzzy inference into real-world image preparation pipelines. Chithambarathanu’s research offers students and practitioners a clear, applied pathway into the evolving field of intelligent image processing.
Research Focus
Key Achievements
Top Papers
- 1