基于中值滤波的图像平滑实验设计与Matlab实现

Experiment Design and Matlab Implementation of Image Smoothing Based on Median Filtering

图像去噪是进行数字图像处理的一项基本环节,而中值滤波是基于排序统计理论的一种能有效抑制噪声的非线性信号处理技术,其基本原理是把数字图像或数字序列中一点的值用该点的一个邻域中各点值的中值代替,让周围的像素值接近的真实值,从而消除孤立的噪声点。本文利用中值滤波对噪声图像进行平滑,通过大量实验表明对图像噪声起到了很好的抑制作用,对图像检索、图像分割中的图像特征提取有较大的现实意义。

Image denoising is a basic step in digital image processing,and median filtering is a nonlinear signal processing technology which can effectively restrain noise,based on the theory of order statistics,whose basic principle is to replace the value of a point in a digital image or sequence with the median value of various points in the field,enabling the surrounding pixel to be close to the real value thus to remove isolated noise points. This paper,using median filter to smooth noise image and through a large number of experiments,shows that it has played a very good inhibitory effect of image noise,and has great practical significance for a image retrieval,and the image feature extraction in image segmentation.