文档介绍：本科毕业论文
基于MATLAB的数字图像处理的设计与实现
The designing and implementing of digital image
processing based on Matlab
二○一二年三月
基于MATLAB的数字图像处理的设计与实现
2007级信息管理与信息系统(医学)本科
【摘要】数字图像处理是一门新兴技术,随着计算机硬件的发展,数字图像的实时处理已经成为可能,由于数字图像处理的各种算法的出现,使得其处理速度越来越快,能更好的为人们服务。数字图像处理是一种通过计算机采用一定的算法对图形图像进行处理的技术。目的:改善医学图像质量,使图像得到增强。方法:利用Matlab工具箱函数,采用灰度直方图均衡化和高通滤波的方法对一幅X线图像进行增强处理。结果:用直方图均衡化的算法,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。高通滤波对于局部细节增强显著,高通滤波后使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。经过直方图均衡化和高通滤波处理后的医学图像,视觉效果得到改善。
【关键词】MATLAB;医学数字图像处理;直方图均衡化;高通滤波;图像增强
The designing and implementing of digital image processing based on Matlab
Department of Medical Information Management and Information System
【Abstract】Digital image processing is an emerging technology, with the development of co mputer hardware, real-time digital image processing has e possible due to digital image processing algorithms to appear, making it faster and faster processing speed, better for peopl
e services .Digital image processing is used by some puter graphics image pro cessing technology. Objective: To improve the quality of medical image by enhancing the det ails. Methods: Two processing methods, the gray-level histogram equalization and highpass f iltering were applied to enhance an X-ray image by using Matlab toolbox functions. Results: By the means of algorithm histogram equalization, the dense gray-level distribution of the ori
ginal image became sparse, and the output image was refined. The highpass filtering strengthe ned the distinctly observed details, while the highpass filtering improved more the local detail
of image. Conclusion: Matlab toolbox is helpful for simplifying the programming and provid
es a platform for medical image processing. The visual impact of medical images processed b
y histogram equalization and highpass filtering improves.
【Keywords】 MATLAB;medical digital image processing;histogram equalization; highpass filtering;image enhancement
目录
1 绪论 1
课题研究目的及意义 1
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