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基于自适应均值的图像滤波算法
引用本文:魏彦. 基于自适应均值的图像滤波算法[J]. 包装工程, 2017, 38(13): 204-207
作者姓名:魏彦
作者单位:深圳职业技术学院,深圳,518055
摘    要:目的为了提高激光三维成像系统中的图像质量,有效滤除图像中噪声,提出一种自适应均值漂移的图像滤波算法。方法在传统算法基础上对均值漂移滤波算法进行改进,选取领域内像素的均方差为控制参量对带宽矩阵h大小进行自适应调控。根据宽带矩阵h的大小,选择合适的像元值参与到计算均值过程中,以提高结果的计算精度。结果实验结果表明改进后的算法能够有效滤除图像中的噪声,提高图像清晰度。结论该算法具有良好的保边去噪特性。

关 键 词:激光三维成像系统  噪声  自适应均值漂移
收稿时间:2017-02-17
修稿时间:2017-07-10

Image Filtering Algorithm Based on an Adaptive Mean
WEI Yan. Image Filtering Algorithm Based on an Adaptive Mean[J]. Packaging Engineering, 2017, 38(13): 204-207
Authors:WEI Yan
Affiliation:Shenzhen Polytechnic, Shenzhen 518055, China
Abstract:The work aims to enhance the image quality of the laser three-dimensional imaging system, effectively filter out noise in the image, and propose a filtering algorithm for adaptive mean shift. The mean shift filtering algorithm was improved based on the traditional algorithm. The mean square error of pixels within the area was selected as the control parameter for adaptive control of the size of bandwidth matrix h. According to the size of the broadband matrix h, the appropriate pixel element value was selected to participate in the process of calculating the mean, so as to improve the computational accuracy of results. The experimental results showed that the improved algorithm could effectively filter out noise in the image and improve the image clarity. The proposed algorithm has good edge-preserving and denoising characteristics.
Keywords:three-dimensional laser imaging system   noise   adaptive mean shift
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