Phoi Chin Goh
Papers
1
Total Citations
8
H-Index
1
About
Dr. Phoi Chin Goh is a researcher specializing in automated visual inspection and robotics, with a focus on defect detection for industrial applications. Her key contributions lie in developing computer vision frameworks that enhance the efficiency and accuracy of quality control processes in manufacturing. Notably, her 2017 work, "Automated vision based detection of blistering on metal surface: For robot," introduces a novel approach that leverages Histogram of Oriented Gradient (HOG) features to capture contour information from surface images, enabling the detection of blistering defects through nearest-neighbor search in a reference database. This framework has garnered 8 citations, reflecting its relevance in advancing robotic inspection systems. Dr. Goh’s research bridges the gap between machine vision and automation, offering practical solutions for real-world industrial challenges. Her work is particularly valuable for students and researchers interested in the intersection of computer vision, robotics, and quality assurance, showcasing how algorithmic innovation can drive smarter, more reliable manufacturing processes.
Research Focus
Key Achievements
Top Papers
- 1