Development of an Autograding System for Weld Bead Surface Quality using Feature Extraction and Mahalanobis-Taguchi System

• Main Authors: Harudin N., Norizhar M.A.H., Marlan Z.M., Selamat F.E.B.
• Other Authors: 56319654100
• Format: Conference Paper
• Published: Institute of Electrical and Electronics Engineers Inc. 2024
• Subjects: Autograding; Feature extraction; Image Processing technique; Mahalanobis Distance; Mahalanobis-Taguchi System; Weld Bead Surface Quality; Extraction; Image processing; Surface properties; Welds; Bead surface quality; Classifieds; Features extraction; Image processing technique; Mahalanobis distances; Mahalanobis-taguchi systems; Teaching and learning; Weld bead; Weld bead surface quality; Grading

Autograding systems are becoming more prevalent to address the challenges inherent in teaching and learning assessment. Over the past few decades, technological advancements have increased image processing techniques, including pattern recognition research. The Mahalanobis-Taguchi System (MTS) is a...