摘要“空间域”指的是图像平面本身，空域滤波是直接对图像的像素直接处理为基础的。它是一种邻域运算，空间域滤波的原理简单的说就是使用空域模板对要处理的图像进行处理，从而计算滤波器在图像中某点的响应，响应的计算方法就是根据滤波模板在图像中经过的面积的像素和滤波器的各项系数来计算。若对邻域中像素的计算为线性的，则运算成为线性空间滤波；否对则称此运算为非线性空间滤波。86207

本文主要研究空间滤波的几种不同方法对噪声的抑制效果，分别介绍了在平滑滤波方向的空间线性滤波器及空间非线性滤波器，其中空间线性滤波主要研究均值滤波，空间非线性滤波主要研究中值滤波对噪声的抑制效果。在理解了不同滤波器原理的情况下，选择MATLAB作为平台，分别编写了相应的程序实现图像增强和去噪的设计和仿真，根据仿真结果，分析不同滤波器的优缺点，比较出最适合特定图像的滤波器。

毕业论文关键词：空间域滤波器、图像增强、图像去噪、邻域处理

Abstract "Spatial domain" refers to the image plane itself。 Spatial filtering is based dire-ctly on the image pixels directly processing。 It is a neighborhood operations, 

whose mechanism is moving in the image to be processed by point template。 Field processing contains the following process: selecting the center (x, y),    only the predefined point (x, y) within the neighborhood pixels perform operations。 And make calculations for neighborhood where the point at which a response, repeating the above process on image on every point。 We mobile center  to rise to a new neighborhood, and each neighborhood of a pixel correspond  to  the input image。 It is used to distinguish the two major terms bounded domain processing and spatial filtering The latter is more common。 Whether on  the  calculation of the pixel neighborhood for linear, computing becomes a    linear spatial filter; Otherwise called the operation space for nonlinear filterin 

This article mainly studies several kinds of different spatial filtering methods

 for noise suppression effect，including the design of the linear spatial filter , and nonlinear spatial filter。 Linear space filtering researches mean filtering。 

Nonlinear filtering researches median filter for noise suppression effect。 In    understanding the principle under the condition of different filters, we select   the  Matlab as a platform。 Write the corresponding program to realize image  enhancement and denoisy in the design  and simulation。。 According to the    simulation results, analysis the advantages and disadvantages of different filters。Which Is the most suitable for a particular image filter。

Keywords: Filter in the spatial domain; Image intensification; Image denoising; The neighborhood processing 

目录

第一章 绪论 1

1。1 引言 1

1。2 国内外研究现状 1

1。3 选题意义和目的 2

1。4 本文的主要内容 3

第二章 数字图像处理 4

2。1 什么是数字图像 4

2。2数字图像处理技术的优点 4

2。3 图像增强 5

第三章 数字图像滤波理论基础 6

3。1 图像噪声 6