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68‐4: Speedy and Quantitative Evaluation of Luminance Non‐Uniformity Based on Deep Neural Networks.
- Source :
- SID Symposium Digest of Technical Papers; Jun2019, Vol. 50 Issue 1, p969-972, 4p
- Publication Year :
- 2019
-
Abstract
- We developed a method for automated evaluation of display luminance non‐uniformity using an auto‐encoder. Usually, a reconstruction loss of auto‐encoder is used for abnormality detection. In our method, we used reconstruction loss as the main indicator and cosine similarity as a secondary indicator. Our method succeeded in the non‐uniformity evaluation. [ABSTRACT FROM AUTHOR]
- Subjects :
- ARTIFICIAL neural networks
DEEP learning
MACHINE learning
Subjects
Details
- Language :
- English
- ISSN :
- 0097966X
- Volume :
- 50
- Issue :
- 1
- Database :
- Complementary Index
- Journal :
- SID Symposium Digest of Technical Papers
- Publication Type :
- Academic Journal
- Accession number :
- 136710470
- Full Text :
- https://doi.org/10.1002/sdtp.13087