基于均值算法喷雾锥角图像噪声处理

Image Noise Processing For Spray Angle Based On Mean Filtering

文章主要研究喷雾锥角图像中噪声处理,首先搭建喷雾水射流实验台,用数码相机拍得喷雾锥角图像,然后利用MATLAB软件编写均值滤波处理的程序,最后利用均值滤波的方法对喷雾图像中出现的噪声进行前期处理,过滤图像上的噪点。通过对比观察喷雾锥角原灰度图像与用均值滤波过滤之后的图像,结果表明:使用均值滤波的方法对喷雾锥角图像进行噪声处理,能够有效的抑制喷雾锥角图像上的噪声,特别是对高斯噪声来说具有很好的抑制效果,能够改善图像的质量,减小噪声对图像的干扰,方便对图像进行后续处理,进而提高了测量喷雾锥角的准确度。

The paper mainly studies the image noise processing in the spray angle. Firstly, built a spray water jet test-bed and get spray angle image through a digital camera. Then compile a MATLAB program about mean filtering to noise processing. Finally, use the mean filtering methods to noise pre-treatment of the spray image. Compared spray angle in original gray image and use the mean filtering methods pre-treatment image, the results show that use the mean filtering methods to noise processing of the spray image have a better noise suppression effect, especially for gaussian noise, it can improve the image quality and reduce the noise effect to image to facilitate the later processing of the image, then improve the accuracy of measuring spray angle.