Name
Abstract | ||
|---|---|---|
General machine vision algorithms are difficult to detect LCD sub-pixel level defects. By studying the LCD screen images, we found that the pixels in the LCD screen are regularly arranged. The spectrum distribution of LCD images, which is obtained by the Fourier transform, is relatively consistent. According to this feature, a method of sub-pixel defect detection based on notch filter and image registration is proposed. First, we take a defect-free template image to establish registration template and notch-filtering template; then we take the defect images for image registration with registration template, and solve the offset problem. After the notch-filter template filtering the background texture, the defect is more obvious; Finally the defects are obtained by the threshold segmentation method. The experiment results show that the proposed method can detect sub-pixel defects accurately and quickly. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1142/S0218001418540162 | INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE |
Keywords | Field | DocType |
Machine vision, notch filter, image registration, defect detection | Computer vision,Band-stop filter,Pattern recognition,Machine vision,Segmentation,Filter (signal processing),Fourier transform,Artificial intelligence,Pixel,Mathematics,Offset (computer science),Image registration | Journal |
Volume | Issue | ISSN |
32 | 6 | 0218-0014 |
Citations | PageRank | References |
4 | 0.45 | 8 |
Authors | ||
8 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Longyuan Guo | 1 | 10 | 4.59 |
| Shinan Li | 2 | 4 | 0.45 |
| Wenjing Hu | 3 | 11 | 6.39 |
| Jianhui Wu | 4 | 10 | 4.26 |
| Bing Tu | 5 | 7 | 3.89 |
| Wei He | 6 | 6 | 2.86 |
| Xianfeng Ou | 7 | 26 | 6.56 |
| Guoyun Zhang | 8 | 18 | 7.38 |