Abstract
Among colours, the green colour has the most sensitivity in human vision so that green colour defects on displays can be effortlessly perceived by a photopic eye with the most intensity in the wavelength 555 nm of the spectrum. With the market moving forward to high resolution, displays can have resolutions of 10 million pixels. Therefore, the method of detecting the appearance of the panel using ultra-high resolutions in TFT-LCD is important. The machine vision associated with transmission chromaticity spectrometer that quantises the defects are explored, such as blackening and whitening. The result shows the significant phenomena to recognize the non-uniformity of film-related chromatic variation. In contrast, the quantitative assessment illustrates that the just noticeable difference (JND) of chromaticity CIE xyY at 0.001 is the measuring sensitivity for the chromatic variables (x, y), whereas JND is a perceptible threshold for a colour difference metric. Moreover, an optical device associated with a 198Hg discharge lamp calibrates the spectrometer accuracy.
Highlights
Liquid crystal (LC) flat panel displays (FPDs) are moving toward high-imaging resolution, quick in-plane switches, vivid colour, saving energy, and low radiation [1,2]
The practice of using human assessors to detect FPD defects is still popular in the liquid crystal display (LCD) industry
As the maximum light sensitivity of human eyes is the green light spectrum of around 555 nm [6], the present study focuses on this light spectrum to explore the possibility of using an automatic optical inspection (AOI) system to replace human assessors
Summary
Liquid crystal (LC) flat panel displays (FPDs) are moving toward high-imaging resolution, quick in-plane switches, vivid colour, saving energy, and low radiation [1,2]. To assure the image quality of the displays with such a high-resolution, non-destructive, automatic optical inspection (AOI) using photo sensors to detect defects is necessary so that quantitative assessment can be made instead of the subjective measurement by the human eyes. The practice of using human assessors to detect FPD defects is still popular in the liquid crystal display (LCD) industry. As the maximum light sensitivity of human eyes is the green light spectrum of around 555 nm [6], the present study focuses on this light spectrum to explore the possibility of using an automatic optical inspection (AOI) system to replace human assessors
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