亚像素边缘定位算法过滤噪声的分析

Filter Noise Analysis Based on Sub-pixel Edge Orientation Algorithm

针对噪声对图像边缘检测等过程带来的极大干扰,严重地影响了图像质量的问题,研究图像中普遍存在的白噪声对边缘定位精度的影响尤为重要。采用一维灰度矩法与二次多项式插值亚像素边缘定位算法进行比较分析,分别讨论两种算法在同一偏移量、不同信噪比的情况下,噪声对边缘定位精度的影响。实验结果表明,在对受噪声影响的图像进行边缘检测时,一维灰度矩法更能够有效地抑制噪声,保护边缘细节,提高检测精度,具有不可忽视的理论价值。

Noise interference with image impacts on image quality severely. It brings great difficult for the course of image edge detection. So an important problem during image process is to research precise of edge o- rientation affected by noise. In the paper, there methods of sub-pixel edge orientation such as 1-dimention gray moment algorithm, Gauss fitting method and polynomial interpolating method are used. The paper discussed af- fection of edge orientation precise by noise under two conditions respectively. One is that SNR and displacement are different using above there methods. The other is that the same SNR using the same method. The research in this paper is greatly valuable in order to restrain noise availably, protect edge details and im- prove detection precise when edge detection of image is affected by noise.