원문정보
보안공학연구지원센터(IJSIP)
International Journal of Signal Processing, Image Processing and Pattern Recognition
Vol.8 No.5
2015.05
pp.301-314
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
This paper introduces a novel method for the quality evaluation of resistance spot welds. The evaluation is based on computer vision methods, which allow nondestructive on-line real-time processing. The input of the system is the image of a weld imprint on a metal band which covers the electrodes against wear and soiling. In order to find the position of the resistance spot welds, we describe an image registration method based on geometric pattern matching for alignment system in metal parts. Further we extract features describing the shape of localized objects in segmented images .Using these shape descriptors (geometric feature) we classify the defects by Artificial Neural Network.
목차
Abstract
1. Introduction
2. SYSTEM OVERVIEW AND RELATED WORK
3. EXPERIMENTAL METHODOLOGY
3.1 The Resistance Spot Welding Location
3.2 Segmentation of the Electrode Imprint
3.3 Image Features Extraction
4. AUTOMATIC CLASSIFICATION METHOD TO THE DEFECTS
4.1 Classification of Defects using ANN
4.2 Results
5. Conclusion and discussion
ACKNOWLEDGEMENTS
References
1. Introduction
2. SYSTEM OVERVIEW AND RELATED WORK
3. EXPERIMENTAL METHODOLOGY
3.1 The Resistance Spot Welding Location
3.2 Segmentation of the Electrode Imprint
3.3 Image Features Extraction
4. AUTOMATIC CLASSIFICATION METHOD TO THE DEFECTS
4.1 Classification of Defects using ANN
4.2 Results
5. Conclusion and discussion
ACKNOWLEDGEMENTS
References
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자료제공 : 네이버학술정보