To improve the image-processing accuracy and speed of laser three-dimensional imaging system, effectively filter the noise in the image, and effectively optimize the processing speed and image accuracy, this paper proposes an improved adaptive mean-shift image-filtering algorithm based on the traditional mean-shift-filtering algorithm. First, this paper introduces the traditional mean-shift-filtering algorithm, and improves it on the basis of the traditional algorithm. Experiments show that the mean square deviation of the pixels in the area of selection can be used as a feather of image noise and as a control parameter to adjust the size of bandwidth matrix h adaptively, so as to achieve the optimization of accuracy and speed. When the mean square error of the area of selection is large, it shows that the noise is large, and h is increased, so that more pixels are involved in the mean calculation, thus greatly improving the accuracy of calculation. When the mean square error of the area of selection is small, it shows that the noise is small, and then, h is reduced appropriately. A small number of pixels are selected to participate in the mean calculation, which can improve the speed of the algorithm. According to the size of the broadband matrix h, the appropriate pixel values are selected to participate in the process of calculating the mean values, so as to improve the accuracy of the results. Finally, the improved algorithm is verified by comparative experiments. The experimental results show that the improved algorithm can effectively filter the noise in the image and improve the image clarity. Experiments show that the algorithm has good edge-preserving and denoising characteristics.

中文翻译：

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基于多源信息融合和自适应离线雾计算的三维激光图像滤波算法

为提高激光三维成像系统的图像处理精度和速度，有效滤除图像中的噪声，有效优化处理速度和图像精度，提出一种基于改进的自适应均值漂移图像滤波算法。传统的均值偏移滤波算法。首先介绍了传统的均值漂移滤波算法，并在传统算法的基础上进行了改进。实验表明，选择区域内像素的均方偏差可以作为图像噪声的羽化和自适应调整带宽矩阵h大小的控制参数，从而达到精度和速度的优化。When the mean square error of the area of​​ selection is large, it shows that the noise is large, and h is increased, 使更多的像素参与均值计算，从而大大提高了计算的准确性。When the mean square error of the area of​​ selection is small, it shows that the noise is small, and then, h is reduced appropriately. 选择少量像素参与均值计算，可以提高算法的速度。根据宽带矩阵h的大小，选择合适的像素值参与计算均值的过程，以提高结果的准确性。最后，通过对比实验对改进算法进行了验证。实验结果表明，改进算法能够有效滤除图像中的噪声，提高图像清晰度。