New website getting online, testing
    • 摘要: 针对像素缺陷影响电润湿电子纸的显示效果,本文提出一种基于Otsu的自动阈值检测方法对缺陷进行检测。Otsu是一种常用的自动阈值方法,在图像直方图为双峰时,该方法能给出令人满意的结果。但是电润湿缺陷图像直方图通常为单峰,容易得到错误的结果。电润湿由于不同颜色的填充油墨使得缺陷与背景对比度不同,导致分割更加困难。本文在目标方差前引入加权系数,权值随着缺陷的累积概率的增大而减小。权值在阈值过峰前保持较大的数值,过峰后权值降低,保证了阈值在单峰情况下始终处于峰的左边。实验结果表明:本文提出的方法能够有效分割电润湿缺陷区域,尤其在对比度较低的电润湿缺陷图像中比Otsu、VE、WOV和熵加权方法的ME值更接近0,有更好的分割效果。

       

      Abstract: Aiming at the effect of pixel defects on the display of electrowetting electronic paper, an automatic threshold detection method based on Otsu is proposed to detect defects. Otsu is a commonly used automatic threshold method that gives satisfactory results when the image histogram is bimodal. However, the electrowetting defect image histogram is usually a single peak, and Otsu method fails. Electrowetting differs from the background contrast due to the filling inks of different colors, making segmentation more difficult. In this paper, the weighting coefficient is introduced before the target variance, and the weight decreases as the cumulative probability of defects increases. The weight keeps a large value before the threshold crosses the peak, and the weight decreases after the peak, ensuring that the threshold is always to the left of the peak in the case of a single peak. The experimental results show that the proposed method can effectively segment the electrowetting defect region, especially in the electrowetting defect image with lower contrast ratio. The method is closer to 0 compared to the ME value of Otsu, VE, WOV and entropy weighting methods. The proposed method has a better segmentation effect.