摘要数字图像处理技术自于20世纪30年代出现以来，已经广泛应用在图像通讯、工业检测、地理信息系统、航空航天、文化艺术等多个领域。但由于在形成、传输、接收等过程中,图像或多或少的会受到一些干扰，产生一系列噪声，使得图像模糊，特征不明显，影响到我们对于图像的判读和处理工作。因此，我们需要对图像中的噪声进行有效的消除以恢复图像清晰度。

故而本文以Visual C++作为编程语言，以中值滤波作为处理方法，对图像降噪技术进行研究。在设计系统的过程中，首先进行了系统分析，主要是可行性分析；其次，进行了系统设计，主要包括系统的总体设计、系统的开发过程两个部分。最后，对系统进行调试，检验其是否能实现预计的功能。本文中设计的滤波系统，在实现图像显示、复制、保存等基本功能的基础上，还实现了中值滤波的计算和一些简单的几何变换功能，为进一步对遥感图像处理开发提供方便。71144

毕业论文关键词：图像降噪  中值滤波  Visual C++

System design and realization of remote sensing image filtering process based on Visual C++

Abstract Since digital image processing technology originated in the 1930s, it has been widely used in many fields, such as image communications, industrial inspection, geographic information systems, aerospace, culture and art. However, since the formation, transmission, reception, etc., the picture will be more or less suffered some disturbance, it will produce a series of noise, making the image fuzzy, not obvious, affecting the visual effects and image processing related work .So, We need to effectively eliminate the noise in the image to restore the image clarity.

Therefore, this paper takes the Visual C++as the programming language, uses the median filter as the processing method, carries on the research to the image noise reduction technology. 

During its development process, the first phase is system analysis, it is mainly feasibility analysis; the second phase is system design, it consists of two parts: the development of the system and the overall design of the system; and the last phase is system operation; it is designed to test whether the system can achieve the expected function. Herein designed filter system, on the basis of image display, copy, save on basic functions such as, but also to achieve a median filtering and simple geometric transformation functions, which will facilitate the further development to remote sensing image processing.

Key Words: Noise Reduction  Median filter  Visual C++ 

目  录

摘  要 I

Abstract II

目  录 III

图清单 IV

1  绪论 1

1.1 系统开发的背景和意义 1

1.2系统设计的思路 1

2中值滤波简介 2

2.1基本原理 2

2.2 实现方法 3

3 系统设计 4

3.1 可行性分析 4

3.2 总体设计 4

3.3 系统开发 5

4 系统简介 8

4.1 系统主要功能 8

4.2 系统功能演示 8

4.3滤波结果输出及分析 11

5系统的不足与改进