Design of Gaussian filters based on odd and even functions used for non-closed circular profile

Jingzhi Huang, Huixin Zheng, Lin Jiang, Xiangzhang Chao, Xiangshuai Ding
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Abstract

In order to solve boundary effect for non-closed circular profile with conventional Gaussian filter, two modified Gaussian filters based on odd and even functions are put forward. By extending original profile data on the boundary effect area, the sampling information on the boundary effect area of non-closed circular profile can be used fully, and then open-loop Gaussian filter is used for filtering. The validity of two designed filters was tested by numerical simulation and experiment. The results demonstrate that the modified Gaussian filter based on even function is more effective to reduce boundary effect than that based on odd function.
基于奇偶函数的非封闭圆形轮廓高斯滤波器设计
为了利用传统高斯滤波器解决非闭合圆形轮廓的边界效应,提出了两种基于奇偶函数的改进高斯滤波器。通过在边界效应区域上扩展原始轮廓数据,可以充分利用非封闭圆形轮廓边界效应区域的采样信息,然后使用开环高斯滤波器进行滤波。通过数值模拟和实验验证了所设计滤波器的有效性。结果表明,基于偶函数的改进高斯滤波器比基于奇函数的改进高斯滤波器更能有效地降低边界效应。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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