Recognition of Welding Defects in Radiographic Images by Using Support Vector Machine Classifier

Xin Wang ； Brian Stephen Wong ； Ching-Seong Tan

《Research Journal of Applied Sciences, Engineering and Technology》 2卷3期 (2010/05) Pp. 295-301

並列摘要

Radiographic testing method is often used for detecting defects as a non-destructive testing method. In this paper, an automatic computer-aided detection system based on Support Vector Machine (SVM) was implemented to detect welding defects in radiographic images. After extracting potential defects, two group features: texture features and morphological features are extracted. Afterwards SVM criteria and receiver operating characteristic curves are used to select features. Then Top 16 best features are used as inputs to a designed SVM classifier. The behavior of the proposed classification method is compared with various other classification techniques: k-means, linear discriminant, k-nearest neighbor classifiers and feed forward neural network. The results show the efficiency proposed method based on the support vector machine.

並列關鍵字

Image processing ； radiographic testing ； support vector machine ； welding defects