Papers
2
Total Citations
50
H-Index
2
About
M. Menaka is a researcher whose work bridges the critical intersection of manufacturing quality control and advanced image processing. Her primary research areas include non-destructive evaluation, welding process monitoring, and digital image segmentation. Her most significant contribution, "Estimating bead width and depth of penetration during welding by infrared thermal imaging" (2005, 32 citations), addresses a fundamental challenge in robotic welding: enabling adaptive, intelligent systems that can dynamically adjust parameters in real-time, mimicking the judgment of a skilled human welder. This work is foundational for automating quality assurance in high-stakes manufacturing environments. Additionally, her analysis of image segmentation techniques for radiographic images (2012, 18 citations) provides a comprehensive comparative study of five key methods—region growing, watershed, thresholding, split and merge, and k-means clustering—offering a valuable resource for researchers and engineers in medical and industrial imaging. Through these contributions, Menaka has advanced the practical application of computer vision for ensuring structural integrity and process reliability.
Research Focus
Key Achievements
Top Papers
- 1
- 2Analysis of Image Segmentation for Radiographic Images18 citations · 2012