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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Hongxi Zhang Zhenduo Guo Zegang Qi Jiuge Wang |
| Copyright Year | 2012 |
| Description | Author affiliation: Kaifeng advanced technical schools, 475000, China (Hongxi Zhang) || Henan Hanwei Electronics Co., Ltd., Zhengzhou 450007, China (Zegang Qi; Jiuge Wang) || Zhongyuan University of Technology, Zhengzhou 450007, China (Zhenduo Guo) |
| Abstract | In this paper, we proposed a defect detection algorithm based on Discrete Fourier Transform (DFT) and optimal threshold method, mainly aiming at detecting bubble, stone, and crack of glass. Firstly, the test images are pre-processed using median filter. Then the defect region is highlighted by spectral residual approach in Discrete Fourier Transform (DFT). Finally, the optimal threshold, using which the defect region is segmented, is determined by multiple iterations. Experimental results demonstrate the proposed detection algorithm can detect and localize the defect region with high accuracy and better practicability. |
| Starting Page | 1044 |
| Ending Page | 1047 |
| File Size | 293621 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781467314107 |
| e-ISBN | 9781467314114 |
| DOI | 10.1109/CSIP.2012.6309035 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2012-08-24 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Image segmentation Glass defect Discrete Fourier Transform Optimal threshold Defect detectio |
| Content Type | Text |
| Resource Type | Article |
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