Improvement of noise filtering and image registration methods for the pressure sensitive paint experiments
Improvement of noise filtering and image registration methods for the pressure sensitive paint experiments
复制标题
DOI：
10.1007/bf03181500
复制
发表时间：
2005-01-01
影响因子：
1.7
通讯作者：
Fujii, K
中科院分区：
文献类型：
--
作者：
Fujimatsu, N;Tamura, Y;Fujii, K
研究了压敏漆实验中图像降噪和图像配准的处理方法。几种类型的过滤器检查去除散粒噪声。提出了一种检测位于模型表面的标记细胞的算法，并讨论了合适的标记尺寸。基于小波变换的数字化处理可以有效地去除散粒噪声，增强模型的边缘。提出了基于小波变换的模型边缘锐化算法。结果表明，本文提出的方法能有效地去除风载图像中的散粒噪声，并能有效地校正风载图像中模型的位移。
Image processing procedures for noise reduction and image registration in the Pressure Sensitive Paint (PSP) experiments are investigated. A several types of filter are examined for the removal of shot noise. An algorithm to detect a marker cell located on the model surface is proposed and an appropriate marker size is discussed. The digital processing based on the wavelet transform is effective to reduce the shot noise and to enhance the edge of the model. The algorithm to sharpen the edge of the model using wavelet transforms is developed. The results indicate that the methods developed in this study effectively remove the shot noise and correct the displacement of the model on the images taken during the wind-on.