IDENTIFICATION OF COLOR UNIFORMITY DEFECT ON THE ELECTRONIC DISPLAYS BY LEARNING THE HUMAN PERCEPTION RECORDS
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- PURNOMO Mauridhi Hery
- Osaka City University
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- ASANO Toshio
- Hitachi Production Research Laboratory
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- SHIMIZU Eiji
- Osaka City University
Bibliographic Information
- Other Title
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- Identification of Color Uniformity Defe
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Abstract
This article explores a proposed method for identifying and classifying the color uniformity defect on the electronic displays. A neural network learning approach utilizing the backpropagation learning algorithm is employed to search the dissimilarity of the color display condition. The color uniformity defect image perception among several conditions of some observations by human eyesight is used to supervise the training data of the neural networks. A supervisor of the training data is obtained by human expert eyes evaluate the white uniformity grade and compare with the standard grade, then labeling the perception grade into some certainty values. The trained network is used to identify and classify the grades level of the color uniformity defect on the electronic displays. For the experimental purpose, a simulation program is developed to generate the color uniformity defect on the monitor display. We make a comparison with a classical regression analysis method for validation of the proposed method.
Journal
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- IEEJ Transactions on Electronics, Information and Systems
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IEEJ Transactions on Electronics, Information and Systems 118 (7-8), 1164-1169, 1998
The Institute of Electrical Engineers of Japan
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Details 詳細情報について
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- CRID
- 1390001204608338560
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- NII Article ID
- 130006844092
- 10006759975
- 10002814667
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- NII Book ID
- AN10065950
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- ISSN
- 13488155
- 03854221
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- NDL BIB ID
- 4496737
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- Text Lang
- en
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- Data Source
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- JaLC
- NDL
- Crossref
- CiNii Articles
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- Abstract License Flag
- Disallowed