Xie Wenqiang, Chen Huaixin, Wang Zhixi, Liu Xing, Liu Biyuan, Shuai Lingyu
Department of Resources and Environment, University of Electronic Science and Technology of China, Chengdu 611731, China.
Novel Product R & D Department, Truly Opto-Electronics Co., Ltd., Shanwei 516600, China.
Sensors (Basel). 2022 Jul 20;22(14):5426. doi: 10.3390/s22145426.
Display crosstalk defect detection is an important link in the display quality inspection process. We propose a crosstalk defect detection method based on salient color channel frequency domain filtering. Firstly, the salient color channel in RGBY is selected by the maximum relative entropy criterion, and the color quaternion matrix of the displayed image is formed with the Lab color space. Secondly, the image color quaternion matrix is converted into the logarithmic spectrum in the frequency domain through the hyper-complex Fourier transform. Finally, Gaussian threshold band-pass filtering and hyper-complex inverse Fourier transform are used to separate the low-contrast defects and background of the display image. The experimental results show that the accuracy of the proposed algorithm reaches 96% for a variety of crosstalk defect detection. Compared with the current advanced defect detection algorithms, the effectiveness of the proposed method for low-contrast crosstalk defect detection is confirmed.
显示串扰缺陷检测是显示质量检测过程中的一个重要环节。我们提出了一种基于显著颜色通道频域滤波的串扰缺陷检测方法。首先，通过最大相对熵准则在RGBY中选择显著颜色通道，并利用Lab颜色空间形成显示图像的颜色四元数矩阵。其次，通过超复数傅里叶变换将图像颜色四元数矩阵转换为频域中的对数谱。最后，利用高斯阈值带通滤波和超复数逆傅里叶变换分离显示图像的低对比度缺陷和背景。实验结果表明，该算法对各种串扰缺陷检测的准确率达到96%。与当前先进的缺陷检测算法相比，证实了该方法对低对比度串扰缺陷检测的有效性。
