웨이브렛 변환 및 서포터 벡터 머신을 이용한 실시간 표면결함 탐상 시스템 개발

This paper presents defect detection and classification method for hot wire rod in the steel industry. The detection algorithm is based on undecimated discrete wavelet transform(UDWT). The algorithm utilizes the translation invariant property of UDWT. To discriminate the real defects and pseudo defects, we use support vector machine (SVM). The total 14 feature attributes are extracted from binary and gray image. The experimental results show the proposed methods can be applied to real-world application.