• 虚拟现实与数字媒体 •

### 基于短距离优先加权均值的Stoilov改进算法

1. 中北大学 计算机与控制工程学院, 太原 030051
• 收稿日期:2014-12-03 修回日期:2015-01-15 出版日期:2015-05-10 发布日期:2015-05-14
• 通讯作者: 刘婷
• 作者简介:刘婷(1991-),女,山西运城人,硕士研究生,主要研究方向:三维光学信息处理、图形图像处理; 潘广贞(1969-),男,山东泰安人,副教授,博士,主要研究方向:三维重建、图形图像处理; 杨剑(1979-),男,山西临汾人,讲师,博士,主要研究方向:三维重建、计算机视觉; 张彩宏(1990-),女,山西忻州人,硕士研究生,主要研究方向:计算机视觉、图形图像处理.
• 基金资助:

总装备部预研基金资助项目.

### Improved Stoilov algorithm based on short distance priority and weighted mean

1. School of Computer Science and Control Engineering, North University of China, Taiyuan Shanxi 030051, China
• Received:2014-12-03 Revised:2015-01-15 Online:2015-05-10 Published:2015-05-14

Abstract:

The details of phase information are lost in the use of mean filtering algorithm to repair singular point by using Stoilov phase shift algorithm, which leads to incorrect phase calculation. In order to solve this problem, a new weighted mean filtering algorithm based on short distance priority was proposed. First, singular points were marked by statistical approach. Then, the size of filter window, which was built basing on the short distance priority principle for each singular point, was up to the number of non-singular points and the shortest distance in current situation. Last, this algorithm used the weighted mean of the non-singular points in the window instead of the singular point to implement singular point correction. The experimental results show that window is more detailed in this method, and the proposed method can effectively remove impulse noise, especially may have advantage in protecting details of phase, and may reduce Root Mean Squared Error (RMSE) less than 0.06 cm in the actual measurement experiments.