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A pupil location method based on improved OTSU algorithm

机译:一种基于改进OTSU算法的瞳孔位置方法

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To improve the accuracy and rapidity of pupil location in human-computer interaction, a method based on the improved OTSU algorithm is proposed in this paper. Firstly, the image is pre-processed using light compensating and median filtering to calculate the maximum between-class variance of the pixels which exist in the image, and obtain the optimum threshold of the binary image. Finally, the pupil center and radius is got by using ellipse fitting. Experiment results show that the method is quite accurate and fast, which laid a great foundation for the eye tracking.
机译:为了提高人机交互中瞳孔位置的准确性和快速度,本文提出了一种基于改进的OTSU算法的方法。首先,使用光补偿和中值滤波预处理图像以计算图像中存在的像素的级别之间的最大差异,并获得二进制图像的最佳阈值。最后,通过使用椭圆拟合来获得瞳孔中心和半径。实验结果表明,该方法非常准确,快速,为眼睛跟踪奠定了很大的基础。

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