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A Robust Contrast Enhancement Method for Automatic TFT-LCD Module Inspection

机译:自动TFT-LCD模块检查的强大对比增强方法

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An automated detection of defect in TFT-LCD manufacturing is critical to maintain high-quality TFT-LCD production. However, various types of defect and their low SNR make it challenging, and therefore fully automated defect detection is still unresolved. In this paper, we propose a robust method for defect detection combining high-resolution image acquisition technique and image processing techniques. The proposed method shows significantly improved performance in defect detection enough to detect under-gray (≤1gray) defect.
机译:TFT-LCD制造中的缺陷自动检测对于维持高质量的TFT-LCD生产至关重要。 然而,各种类型的缺陷及其低SNR使其具有挑战性,因此仍未解决完全自动化的缺陷检测。 在本文中,我们提出了一种稳健的方法,用于结合高分辨率图像采集技术和图像处理技术的缺陷检测方法。 该方法显示出在足以检测灰色(≤1Gray)缺陷的缺陷检测中显着提高的性能。

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