Journal
IMAGE AND VISION COMPUTING
Volume 41, Issue -, Pages 11-25Publisher
ELSEVIER SCIENCE BV
DOI: 10.1016/j.imavis.2015.06.001
Keywords
Automatic optical inspection; Defect inspection; Touch panel
Categories
Funding
- Ministry of Science and Technology [MOST 103-2221-E-130-006]
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Automatic optical inspection plays an important role to control the appearance quality of wide range of products in the product process. Recently, the high popularity of srnartphones and information appliances drives significant demand of touch panels. However, the traditional frequency-based method which exploits the line structure feature of texture images is not effective for the defect detection of touch panels. The paper presents a novel spatial domain algorithm to inspect the defects on touch panel. By utilizing the characteristics of periodic patterns of the sensing circuits, an adaptive model for each pattern is learned online to effectively extract defects. The experimental results indicate that our proposed method achieves accurate detection with efficient computation. In addition, the users pay very little effort for the testing of different panel products. (C) 2015 Elsevier B.V. All rights reserved.
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