Evaluating sub-pixel functional defects of a display using an arbitrary resolution camera
Autor: | Paulo Eduardo Reis Felgueiras, Boris P. J. Bret, Paulo M.F. Forte, Eduardo J. Nunes-Pereira, Michael Belsley, Flávio P. Ferreira |
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Přispěvatelé: | Universidade do Minho |
Rok vydání: | 2017 |
Předmět: |
Engineering
Image quality ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION 01 natural sciences 010309 optics Primary color Sampling (signal processing) Aliasing 0103 physical sciences Computer vision Electrical and Electronic Engineering Image sensor 010302 applied physics Science & Technology Pixel business.industry Resolution (electron density) Liquid Crystal Display (LCD) Filter (signal processing) Human-Computer Interaction Hardware and Architecture Automatic optical inspection Defects inspection Artificial intelligence business |
Zdroj: | Repositório Científico de Acesso Aberto de Portugal Repositório Científico de Acesso Aberto de Portugal (RCAAP) instacron:RCAAP |
ISSN: | 0141-9382 |
DOI: | 10.1016/j.displa.2017.06.001 |
Popis: | An automatic optical inspection system to evaluate functional defects of sub-pixel elements in image displays is proposed, which is based on a single full-field imaging sensor. In order to circumvent sampling aliasing, the display is addressed with a set of grid patterns whose defocused optical images imitate a lower resolution display. The cross-talk between the sensor and the display primary colors is corrected by means of a linear transformation between their color-spaces. Dark and bright dots are located and quantified by applying a notch multi-band Fourier filter to the sensor images. The technique is simple, robust, and easily scalable, since only one image sensor is required, no moving parts are used, and the sensor can be reused to analyze increasing resolution displays. This research is sponsored by the Portugal Incentive System for Research and Technological Development. Project in co-promotion no 36265/2013 (Project HMIExcel - 2013-2015). info:eu-repo/semantics/publishedVersion |
Databáze: | OpenAIRE |
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