Abstract
In this paper, we propose a principal component analysis (PCA)-based mura detection algorithm. Recent conventional algorithms divide the panel image with the detection window and detect the mura in each detection window. However, these algorithms have several problems due to the limitation of the detection window size. To overcome these problems, we first estimate the background image of the entire panel image by applying the PCA method. And then, the difference image between the input panel image and the estimated background image is used for the mura region decision. The experimental results show that the proposed algorithm outperforms the conventional mura detection algorithm.
| Original language | English |
|---|---|
| Title of host publication | Digest of Technical Papers - IEEE International Conference on Consumer Electronics |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 109-110 |
| Number of pages | 2 |
| ISBN (Electronic) | 9781479938308 |
| DOIs | |
| Publication status | Published - 2014 Sept 18 |
| Event | 1st IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2014 - Taipei, Taiwan, Province of China Duration: 2014 May 26 → 2014 May 28 |
Publication series
| Name | Digest of Technical Papers - IEEE International Conference on Consumer Electronics |
|---|---|
| ISSN (Print) | 0747-668X |
Other
| Other | 1st IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2014 |
|---|---|
| Country/Territory | Taiwan, Province of China |
| City | Taipei |
| Period | 14/5/26 → 14/5/28 |
Bibliographical note
Publisher Copyright:© 2014 IEEE.
ASJC Scopus subject areas
- Industrial and Manufacturing Engineering
- Electrical and Electronic Engineering