Dead Pixel Detection on Liquid Crystal Displays using Random Forest, SVM, and Harris Detector
| Autor: | Osmar R.A. Silva, Celso B. Carvalho, Kethilen Y. Ouchi, Mateus O. Da Silva, Andre S. Costa, Adriana S. Souza, Antonio M.C. Pereira, Caio F.S. Cruz, Thiago Brito Bezerra, Anderson S. Jesus, Ruan J.S. Belem, Waldir S. S. Junior, Diego A. Amoedo, Luciana R. Costa, Lucas G.C. Evangelista, David Alan de Oliveira Ferreira, Myke D. M. Valadao, Gustavo M. Torres, Agemilson P. Silva |
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| Rok vydání: | 2020 |
| Předmět: |
Liquid-crystal display
Pixel business.industry Computer science 010401 analytical chemistry Detector Pattern recognition 02 engineering and technology 01 natural sciences 0104 chemical sciences law.invention Random forest Support vector machine law Digital image processing 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Artificial intelligence business |
| Zdroj: | ICCE-TW |
| Popis: | Manufacturing TVs and monitors requires an effective method to detect the dead pixels. These defects are usually identified by operators manually. However, manual inspection is susceptible to failure due to human fatigue and generate a high cost for production process. In this work, conducted by three partners (UFAM/CETELI, ICTS and ENVISION/TPV), we propose three methods for automated detection of dead pixels. Two proposed methods were based on machine learning (ML) techniques, random forest (RF) and support vector machine (SVM) algorithms. The third method was based in digital image processing (DIP), Harris algorithm. As result, the SVM obtained the better performance with 92.1% of precision in two of three used image database. |
| Databáze: | OpenAIRE |
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