基于形态学的毫米波辐射图像去噪方法

摘要毫米波辐射成像技术在遥感、军事、工业、医学、公安、环境监测等领域具有十分重要的实用价值和广阔的应用前景。毫米波成像技术的研究为毫米波波段的目标探测与识别提供理论基础。

此次毕业设计采用由3mm波段交流全功率辐射计组成的被动毫米波成像系统进行成像实验，从而获得毫米波辐射图像并对藏匿有金属圆片的人体图像进行处理。为了对图像进行处理，文中重点介绍了形态学算法的基本原理及其在图像去噪和增强中的应用。图像的去噪增强处理有着很重要的实际作用，文中还介绍了各种算法对毫米波图像进行去噪和增强处理。65552

毕业论文关键词：毫米波辐射计去噪形态学

毕业设计说明书（论文）外文摘要

Title The Denoising Method of Millimeter Wave Radiation Image Based on Morphology

Abstract

Owing to practical application value and extensive potential application ， the millimeter wave radiometric imaging technology is widely used in remote sensing, guidance, industry, medical science, public security, environmental monitoring and etc. The research for Millimeter wave radiometric imaging technology provides a theoretical basis for the detection and recognition of target at millimeter wavelengths.

The graduation project used the passive millimeter wave imaging system composed of a 3mm band total power radiometer for imaging experiments, then we can get the millimeter wave radiometric image and process the image of the concealed metal target hidden in the body.

In order to process the image, the basic theory of morphology algorithm is introduced, so as the applications in image denoising, enhancement and boundary extraction. In this paper, we propose a combination morphological filter to smooth and filter the image. Image denoise has important practical effect, the basic theory of morphology algorithm is introduced, so as the applications in image denoising, enhancement in next chapter.

Keywords : millimeter wave radiometer denoise morphology

1 绪论 1

1．1 引言 1

1．2 被动毫米波成像 1

1．3 全文设计目标及编排 4

2 被动毫米波成像 5

2．1 被动毫米波成像技术基本原理 5

2．2 被动毫米波辐射计 13

2．3 被动毫米波成像系统 16

3 图像增强方法简介 19

3．1 空域变换增强 20

3．2 空域滤波增强 21

3．3 频域滤波增强 22

3．4 小波去噪增强 22

4 形态学滤波基础 23

4．1 数学形态学简介 23

4．2 二值形态学基础 24

4．3 灰度图像的形态学处理 26

4．4 复合形态学滤波 28

4．5 形态学滤波结果基于形态学的毫米波辐射图像去噪方法:http://www.751com.cn/tongxin/lunwen_73211.html