偏振器
背光
饱和(图论)
光学
计算机科学
液晶显示器
材料科学
图像质量
对比度(视觉)
人工智能
物理
数学
图像(数学)
组合数学
双折射
作者
Yuanlong Deng,Xizhou Pan,Xing Zhong,Guohong Huang
出处
期刊:Optics Express
[The Optical Society]
日期:2020-01-27
卷期号:28 (3): 3699-3699
被引量:4
摘要
The quality-control process of polarizer production is hampered by the presence of extremely-slight transparent aesthetic defects (ESTADs). The saturated imaging method based on stripe structured backlight can effectively improve the imaging contrast of ESTADs. However, the contrast is very sensitive to the saturation degree, which requires careful manual selection. This paper presents a saturation level-guided image enhancement method that is simple to deploy in industrial settings. First, a new definition of the saturation level for structured backlit imaging with translation, scale, and rotation invariance is proposed. Then, an empirical model of contrast versus saturation level is established. Using the contrast data measured at five saturation levels, the optimal saturation level can be estimated using the parameter optimization method. The experimental results demonstrate that the method is effective, easy to use, and an improvement of imaging effects for transparent thin-film defect detection algorithms.
科研通智能强力驱动
Strongly Powered by AbleSci AI