| Title |
On the TFT-LCD Cell Defect Inspection Algorithm using Morphology |
| Authors |
Sang-Hyun Yu ; Yong-Kwan Kim |
| Keywords |
Machine vision ; Defects detection ; Morphology ; Erosion ; Dilation ; TFT-LCD ; Cell ; Subpixel |
| Abstract |
In this paper, we develope and implement a TFT-LCD cell defects detection algorithm using morphology. To detect the bright line or dark line defects and the bright pixel or dark pixel defects of the TFT-LCD cells, we determine the shape of the morphology operators considering the shape characteristics of the TFT-LCD sub pixels. Using dilation, erosion, and the subtraction operators, we extract gray level defects information. Then, we apply the optimal threshold method which shows the best results in terms of several criteria. Finally, we determine the defects using labelling method. From various experiments using TFT-LCD panels , the proposed algorithm shows superior results. |