基于MATLAB的图像增强技术研究
摘要人眼视觉和机器视觉不同，为了更好的服务于人类，现代科学技术必须将原始图像进行适当的转换，以达到改善图像视觉效果的目的，这样不但符合人眼视觉的特性，还能为后续计算机处理提供便利。81479
本文通过MATLAB平台对图像增强算法进行设计和编写，优化输入图像文件，提高图像的信噪比和信杂比，使图像更加符合人类的视觉习惯。
空域增强处理简单便捷，计算快，相对于它，频域增强处理对比度更高，但实现复杂，需要进行大量的计算，所以在这个效率第一的时代里，对前者的应用更加的广泛。
如上所述，本论文基于空域增强处理，对于几种有代表性的方法进行原理讲解和实现: 基于灰度变换、直方图变换、图像平滑、图像锐化的图像增强算法，并且对比了优缺点，对各方法的最佳试用场景也做出了指明。
毕业论文关键词 图像增强；灰度；直方图；图像平滑；图像锐化；Matlab
毕业设计说明书（论文）外文摘要
Title Image enhancement technology research based on MATLAB
Abstract Human and machine vision is different, in order to offer better service to human, modern science and technology must be proper to transform the original image to improve image visual effect, it not only conforms to the characteristics of the human eye, but also greatly facilitate the process of computer image processing。
In this paper, by using MATLAB for image enhancement algorithm design and writing, in order to help the input image files meet the optimize, improve the SNR and noise ratio of image, make the image more in line with human's visual habit。
Airspace enhancement processing is simple ,convenient and fast calculation, relative to it, frequency domain enhancement processing has higher contrast, but complicated to realize, it need to do a lot of calculation, so in this era of efficiency first, the application of the former is more widely。
As said before, this thesis is based on airspace enhancement processing, several representative methods for implementation and interpretation of principle: based on gray level transformation, histogram transformation, image smoothing, image sharpening, and compared the advantages and disadvantages with each other, one of the best trial scenario for each method are made。
Keywords image enhancement; Gray; Histogram; image smoothing; image sharpening; Matlab
目 次
1 绪论 1
1。1 研究背景及意义 1
1。2 图像增强的研究现状 1
1。3 论文研究内容及章节安排 2
2 空域图像增强原理 3
2。1 灰度变换 3
2。2 直方图增强 6
2。3 图像平滑 9
2。4 图像锐化 10
3 Matlab平台实现空域图像增强算法 13
3。1 灰度变换 13
3。2 直方图变换 15
3。3 中值滤波器 17
3。4 拉普拉斯锐化 19
3。5 小结 21
4 总结与展望 22
附录A 全局线性变换与分段线性灰度变换程序的m文件