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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Xueqin Zhou Xiaohong Liu |
| Copyright Year | 2007 |
| Description | Author affiliation: Shandong Univ, Jinan (Xueqin Zhou; Xiaohong Liu) |
| Abstract | Fragmentation test is one of the mandatory tests on safety glasses. We apply digital image processing techniques to the detection and recognition of glass fragments, and obtain their shape, size, and count. Based on the characteristics of glass fragment images, we propose an image segmentation algorithm based on edge detection. The first step is to detect the crack lines using edge detection and edge growth techniques. This step produces the thick crack lines from the original gray scale image. The second step then applies image segmentation based on the watershed transformation. The fragments are recognized and counted. Experiments show that the algorithm can accurately recognize the crack lines in fragmented safety glasses and determine the area of the fragments correctly. Computerized fragmentation test using our algorithm in practice can save manpower and improve test accuracy and efficiency. |
| Starting Page | 963 |
| Ending Page | 967 |
| File Size | 690488 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781424408276 |
| DOI | 10.1109/ICMA.2007.4303677 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2007-08-05 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Glass Image edge detection Vehicle safety Railway safety Shape Image segmentation Histograms Automatic testing Image recognition Pixel image segmentation fragmentation test safety glass fragmentation particles crack lines edge detection |
| Content Type | Text |
| Resource Type | Article |
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