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基于MATLAB的校园图像处理与分析

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摘要 随着计算机科学技术的不断发展以及人们在日常生活中对图像信息的不断需求，数字图像处理技术以其信息量大、处理和传输方便、应用范围广等一系列优点，成为人类获取信息的重要来源和利用信息的重要手段，并在探测、遥感、生物医学、工农业生产、军事、公安、办公自动化等领域得到了广泛应用。在实际应用中，只要涉及到成像或者是图像图片都需要进行图像处理，因此研究图像处理具有较深的实际意义。

MATLAB是一种优秀的工具软件，具有强大的运算功能和图形展示功能，是图像处理变得更加的简单和直观。本文介绍了MATLAB语言的特点和基本使用方法以及MATLAB图像处理的手段，其包含图像的编辑、图像的变形、噪声和滤波等。

本论文主要针对校园图像应用了图像处理的相关技术，包括：图像的运算、图像的变换、图像的增强、图像的分析、图像的复原及图像的形态学操作。进行了均值滤波和中值滤波两种滤波方法的仿真操作，通过对比发现中值滤波的效果更好；实现了sobel算子、log算子及canny算子的边界分析方法，通过对比发现sobel算子检测边缘的效果更好；实现了维纳滤波和盲目卷积两种方法的图像复原以及对图像的形态学操作进行了相关的仿真操作。

关键词 数字图像处理 MATLAB软件 图像的增强 图像的分析

Campus based on MATLAB image processing and analysis

Abstract With the continuous development of computer science and technology as well as people in their daily lives constantly demand for image information, digital image processing technology for its large amount of information to facilitate the processing and transmission, a wide range of applications, such as a series of advantages, become human access to important information important means and use of information sources, and in the detection, remote sensing, bio-medical, industrial and agricultural production, military, public security, office automation and other fields has been widely used. In practical applications, insofar as the image forming or image need to be image processing, image processing and therefore have a deeper study of practical significance.

MATLAB is an excellent tool with powerful computing capabilities and graphical display capabilities, image processing becomes more simple and intuitive. This article describes the features and use of methods and means of basic image processing MATLAB MATLAB language, which includes an image editor, image distortion, noise, and filtering.

The thesis for the application of the related art image campus image processing, comprising: an image operation, image conversion, image enhancement, image analysis, image restoration, and image morphological operation. Simulated operation mean filter and median filter two filtering methods, found better results by comparing the median filter; achieve the sobel operator, log analysis and boundary operators son canny operator, by contrast found sobel operator edge detection results better; implements blind image restoration Wiener filtering and convolution of the two methods as well as the image of the relevant morphological operations simulation operations.

Keywords: digital image processing MATLAB software Image enhancement Image Analysis

目 录

第一章绪论................................................................................................................................1

1.1课题的研究背景................................................................................................................1

1.2国内外研究现状................................................................................................................2

1.3本课题研究工作与结构安排............................................................................................4

第二章数字图像处理的简介...............................................................................................5

2.1数字图像的概述................................................................................................................5

2.2数字图像处理的目的........................................................................................................5

2.3研究内容............................................................................................................................5

2.4基本特点............................................................................................................................7

2.5主要应用............................................................................................................................8

2.6图像格式与MATLAB图像类型......................................................................................9

第三章MATLAB基本知识介绍.......................................................................................11

3.1MATLAB简介..................................................................................................................11

3.2产生的历史背景................................................................................................