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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Fu-Ming Tzu Jung-Hua Chou |
| Copyright Year | 2009 |
| Description | Author affiliation: Department of Engineering Science, National Cheng Kung University, 1 University Road, Tainan, Taiwan 701 (Fu-Ming Tzu; Jung-Hua Chou) |
| Abstract | In this paper, we propose a creative non-contact automatic optical inspection (AOI) method for slit Mura measurements using a spectrometer and a photomultiplier tube (PMT). The experimental result indicate significant breakthrough of uniformity detection than typical macro CCD-based sensors and naked eyes, even the color difference is below the Just Noticeable Difference (JND) level. The characteristic of optical density (OD) is tended to be a concave curve; by contrast to chromaticity profile which shows a convex feature. Using the feature of chromaticity or optical density profiles across a slit Mura, the color difference from 0.12% to 2.71% in CIEy can be measured accurately. OD difference from 0.01 to 1.11 can be detected as well. Among of the samples, the most significant change is the 2.71% of CIEy chromatic variation versus a 1.1 OD difference along the slit Mura which is explored to quantity the JND's perceptibility. A higher chromaticity corresponds to a higher transmittance and a lower optical density, and can be deduced accurately by the present method. |
| Starting Page | 373 |
| Ending Page | 376 |
| File Size | 5116315 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424443413 |
| DOI | 10.1109/IMPACT.2009.5382196 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-10-21 |
| Publisher Place | Taiwan |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Photomultipliers Spectroscopy Eyes Density measurement Sensor phenomena and characterization Displays Thin film transistors Optical films Optical sensors Automatic optical inspection |
| Content Type | Text |
| Resource Type | Article |
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