结合特征匹配和色彩校正的LCD复杂显示屏缺陷检测方法

Shuai Lingyu, Chen Huaixin, Wang Zhixi
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引用次数: 2

摘要

针对LCD复杂检测图像中的缺陷检测问题,提出了一种结合特征匹配和色彩校正的复杂显示图像缺陷检测方法。首先,采用加速鲁棒特征(SURF)和投影变换相结合的图像配准方法,对检测图像与标准图像进行高精度几何配准;其次,分别计算图像RGB三通道的平均亮度,提出自适应直方图匹配的图像颜色校正方法;将低亮度通道的直方图指定为高亮度通道的直方图,得到最终的配准图像对。最后,利用支持向量机(SVM)对残差图像进行分类,得到缺陷检测的二值图像。实验结果表明,该方法能够检测出光照变化和几何畸变下的复杂图像显示缺陷,检测准确率为99.43%,召回率为86.19%;具有工程应用前景。
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Defect Detection Method Of LCD Complex Display Screen Combining Feature Matching and Color Correction
Aiming at the defect detection problem in the complex detection picture of LCD, a defect detection method of complex display picture combining feature matching and color correction is proposed in this paper. Firstly, the image registration method of Speeded Up Robust Features (SURF) and projection transformation is used for high-precision geometric registration between the detected image and the standard image; Secondly, the average brightness of the RGB three channels of the image is calculated respectively, and the image color correction of adaptive histogram matching is proposed. The histogram of the low brightness channel is specified as the histogram of the high brightness channel, and the final registered image pair is obtained. Finally, support vector machine (SVM) is used to classify the residual image to obtain the binary image of defect detection. The experimental results show that the proposed method can detect complex picture display defects under illumination change and geometric distortion, the detection accuracy is 99.43%, and the recall rate is 86.19%; It has engineering application prospect.
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