摘要
介绍了影像测量系统中的噪声来源以及常用的滤波方法。针对均值滤波器和中值滤波器在滤除高斯噪声和脉冲噪声时各自表现出良好的性能,设计了一种针对待测零件图像中混合噪声的自适应滤波方法,系统根据噪声类别灵活选择滤波方法。实验证明改进的滤波策略能获得比传统滤波方法更高的信噪比改善因子。
The source of noise and the commonly used filter in image measurement system were introduced in this paper. Because the mean filter and the median filter all show their excellent performance when deal with Gaussian noise and salt and pepper noise respectively, this paper designed an adaptive filter aimed at the hybrid noise in the object image to measure. The system can select the corresponding filter according to the type of noise. ExPeriments show that the new filter can achieve higher improvement factor of SNR than traditional methods.
出处
《微计算机信息》
2012年第3期147-149,共3页
Control & Automation
基金
中央高校基本科研业务费专项资金资助
关键词
影像测量
混合噪声
信噪比改善因子
自适应滤波
Image measurement
hybrid noise
Improvement factor of SNR
Self-adaptive filter