机构地区: 陕西科技大学计算机与信息工程学院
出 处: 《计算机工程与应用》 2004年第16期65-66,103,共3页
摘 要: 文章提出了一种用于曲面测量中测点数据噪声处理的模糊加权均值滤波方法。该方法利用模糊隶属度思想,通过迭代优化权值以剔除曲面测量数据中的噪声。较之于均值滤波,该方法能更有效地滤掉测量噪声。通过仿真实验验证了该方法的有效性。 A fuzzy weighted average filter method is proposed in this paper to filter noise in huge amounts of measured points of freeform surface.The method uses fuzzy membership idea to optimize the weights by iteration method.Compared with average filter method,the method can eliminate the noise information in the measurement points more effectively.The effectiveness of the method is verified through simulation.
领 域: [电气工程]