发布时间 : 星期日 文章基于MATLAB的图像分割方法及应用更新完毕开始阅读6df0695b647d27284b7351e9
本科毕业设计（论文）
课题名称 基于MATLAB的图像分割方法及应用 电子信息工程 学院 电子科学与技术 专业 学 号 学生姓名 指导教师 起讫日期
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摘 要
图像处理是一种新兴学科，在短短几十年中得以迅速发展并广泛应用于航天、军事、医学等领域。它是如今信息社会引人注目的多媒体技术中重要组成部分只一。图像分割技术是非常重要的图像处理技术之一，无语是在理论研究还是在实际应用中人们都非常的重视。图像分割有许多的种类和方式，一些分割运算能够直接应用于任何图像，而另外一些却只适用于特别种类的图像。图像分割技术是从图像处理技术，再到后期的图像分析的关键步骤，图像分割结果的好坏，可以说对图像的理解有直接影响。
本文根据图像分割原理及人眼视觉的基本理论，研究图像的彩色模型及图像分割的常用方法，比较各方法的特点，并选择合适的方法对图像进行分割。本文采用MATLAB软件对图像进行彩色坐标变换及阈值分割，计算简单，具有较高的运行效率，分割的结果是使图像更符合人眼的视觉特性，获得比较好的效果。
关键字：图像处理；图像分割；人类视觉；MATLAB
ABSTRACT
Image processing of the emerging disciplines, in a short span of decades to the rapid development and is widely used in military, aerospace, medical and other fields. Today's information society it is eye-catching multi-media technology an important part. This paper reviews the image processing in the human visual segmentation and the basic theory and commonly used method, combined with the cells to deal with image color space conversion and split. And through the MATLAB platform to realize color image segmentation.
This article first discusses the basic principles of vision, including the structure of the human eye, the human eye's visual system, color vision, color, etc. In this paper, The basic principle of color image processing is also carried out preliminary study was mainly aimed at the visual characteristics of the human eye to choose the appropriate color model to color images converted from RGB space to reflect the characteristics of human visual processing of the HSI space and then. Color images of cells after conversion model for the operation of division.
In this paper, the threshold segmentation of cell image segmentation is using methods. Threshold segmentation method applied to objects and background have a stronger contrast to the situation, it is important that the gray background or objects in a single comparison, the calculation is simple, with high operating efficiency. The results of segmentation are to make the image more in line with the visual characteristics of the human eye and to obtain relatively good results.
Keywords: image processing; image segmentation; MATLAB; human visual
目 录
第一章 绪论 .............................................................................................................................. 1
1.1 前言 .................................................................................................................................... 1 1.2 MATLAB简介 ..................................................................................................................... 2 1.3 视觉研究现状 .................................................................................................................. 3 1.4 视觉研究与彩色图像坐标转换 .................................................................................. 3
1.4.1 视觉研究与图像处理 ........................................................................................ 3 1.4.2 视觉研究在彩色图像坐标转换的应用 ........................................................ 4 1.5 研究目的与内容 ............................................................................................................. 4
1.5.1 研究目的 ............................................................................................................... 4 1.5.2 本文主要内容 ..................................................................................................... 5
第二章 视觉基本理论 ......................................................................................................... 6
2.1 视光学 ................................................................................................................................ 6 2.1.1 人眼的结构 .......................................................................................................... 6 2.1.2 视觉系统 ............................................................................................................... 7 2.1.3 颜色视觉 ............................................................................................................... 8 2.1.4 肉眼色度视觉原理 .......................................................... 错误！未定义书签。 2.2 目标物体的彩色坐标转换 ........................................................................................... 9
2.2.1 彩色色度学模型 ............................................................... 错误！未定义书签。 2.2.2 工业彩色模型 ................................................................... 错误！未定义书签。 2.2.3 彩色视觉模型 .................................................................... 错误！未定义书签。
第三章 图像处理技术基础 ............................................................................................. 11
3.1 技术背景 ......................................................................................................................... 11 3.2 彩色图像格式 ................................................................................................................ 11 3.3 彩色图像分割技术 ....................................................................................................... 12
3.3.1 阈值分割法 ........................................................................................................ 12 3.3.2 边缘检测法 ........................................................................................................ 13 3.3.3 区域生长法 ........................................................................................................ 13 3.3.4 分水岭分割法 ................................................................................................... 14 3.3.5 其他方法 ............................................................................................................. 15
第四章 彩色图像分割的MATLAB实现 ..................................................................... 16
4.1 MATLAB语言：阈值分割法实现图像分割 ............................................................. 16 4.1.1 设计流程 ............................................................................................................. 16 4.1.2 MATLAB程序 ..................................................................................................... 16 4.2 MATLAB语言：边缘检测法实现图像分割 ............................................................. 20
4.2.1 设计流程 ............................................................................................................. 20 4.3 MATLAB语言：区域生长法实现图像分割 ............................................................. 22