届别 2012
专业WORD.
学 号 5
毕业设计（论文）
基于MATLAB的医学图像处理
姓 名 唐涛 系 别、 专 业 计算机系 通信工程专业 导 师 姓 名、职 称 朱卫平教授 完 成 时 间 2012年3月10日
基于MATLAB的医学图像处理
摘 要
本文针对基于MATLAB的医学图像处理环境，对其结构、特点及应用做了介绍。重点阐述了多种算法综合运用解决特定应用环境下的图像处理，如用直方图均衡进行图像增强，通过形态学方法进行图像特征提取与分析，利用傅里叶变换进行图像分析等。目的：改善医学图像质量，使低对比度的图像得到增强。方法：利用MATLAB工具箱函数，采用灰度直方图均衡化和灰度直方图规定化的方法对一幅X线图像进行增强处理，并比较它们的增强效果。结果：用直方图均衡化和规定的算法，将原始图像密集的灰度分布变得比较稀疏，处理后的图像视觉效果得以改善。直方图均衡化对于局部细节不显著，而直方图规定化则不易观察到的细节变得清晰。结论:使用MATLAB工具箱大大简化了编程工作，为医学图像处理提供了一种技术平台。直方图规定化法处理医学图像局部细节方面好于均衡化。
关键词：MATLAB，规定化，均衡化，图像处理，图像增强
专业WORD.
THE REALIZATION OF IMAGE PROCESSING BASED ON MATLAB
ABSTRACT
The paper presents a digital image processing environment which is based on
MATLAB,and introduce its structure,characteristics and application.It focuses on the comprehensive using of a variety of algorithms to solve image processing problems in specific application environment,such as using histogram equalization for image enhancement ,using the morphological approach for image feature extraction and analysis, using fourier transform for analysis image and so on. AIM: To improve the quality of medical image by enhancing the lowcontrast details. METHODS: Two processing methods, the graylevel histogram equalization and the graylevel
histogram regulation, were applied to enhance an Xray image and their enhancement effects were compared by using Matlab toolbox functions. RESULTS: By the two means of algorithmhistogram equalization or regulation, the dense graylevel distribution of the original image became sparse, and the output image was refined. The regulation method strengthened the difficultly observed details, while the equalization method improved less the local details of image. CONCLUSION: Matlab toolbox is helpful for simplifying the programming and provides a platform for medical image processing. The regulation method is better than the equalization method in presenting the local details of medical images.
KEYWORDS: equalization，regulation， algorithms， MATLAB，image enhancement
目 录
专业WORD.
基于MATLAB的医学图像处理(批改)(1)
