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- W2148069856 abstract "Real-time X-ray imaging and its image processing techniques ar e often adopted in on-line automatic inspection of defects. Due to high noises, low contrast and moving blur, it is difficult to realize automatic inspection using those i mage processing techniques. Furthermore, most of the existing automatic inspection sy stems only use single defect segment method, which leads to the outstanding conflict between false alarm and missed detection. As a result, those systems are hard to be app lied in practice. In this paper, the redundancy and complementarity are analyzed in two defect segmentation methods of weld X-ray image, i.e., background subtraction and gray-level wa ve analysis. Then, the information fusion method of them is proposed. Results show that the false alarm and missed detection are decreased effectively by the information f usion method." @default.
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- W2148069856 date "2008-01-01" @default.
- W2148069856 modified "2023-09-22" @default.
- W2148069856 title "Real-time X-ray Image Processing Based on Information Fusion for Weld Defects Detection" @default.
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