6 August 2014 Automatic detection method for mura defects on display film surface using modified Weber’s law
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J. of Electronic Imaging, 23(4), 043019 (2014). doi:10.1117/1.JEI.23.4.043019
Abstract
We propose a method that automatically detects mura defects on display film surfaces using a modified version of Weber’s law. The proposed method detects mura defects regardless of their properties and shapes by identifying regions perceived by human vision as mura using the brightness of pixel and image distribution ratio of mura in an image histogram. The proposed detection method comprises five stages. In the first stage, the display film surface image is acquired and a gray-level shift performed. In the second and third stages, the image histogram is acquired and analyzed, respectively. In the fourth stage, the mura range is acquired. This is followed by postprocessing in the fifth stage. Evaluations of the proposed method conducted using 200 display film mura image samples indicate a maximum detection rate of ∼95.5%. Further, the results of application of the Semu index for luminance mura in flat panel display (FPD) image quality inspection indicate that the proposed method is more reliable than a popular conventional method.
© 2014 SPIE and IS&T
Myung-Muk Kim, Seung-Ho Lee, "Automatic detection method for mura defects on display film surface using modified Weber’s law," Journal of Electronic Imaging 23(4), 043019 (6 August 2014). http://dx.doi.org/10.1117/1.JEI.23.4.043019
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KEYWORDS
Human vision and color perception

Image quality

Defect detection

Reliability

Image acquisition

Image filtering

Image analysis

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