数字图像增强方法的实现剖析.docx

本科毕业设计(论文)基于数字图像的增强方法的实现Implementation of Digital ImageEnhancement Method学院：电子工程学院专业班级：电子信息工程学生姓名：学号：指导教师：2016年6月毕业设计（论文）中文摘要基于数字图像的增强方法的实现摘要：数字图像增强技术是数字图像处理过程中相当重要的环节。利用图像增强技术可以加大图像清晰度，改善人类对图像的视觉效果，以便于人眼的观察；再者图像增强技术可以使图像变得更利于计算机的处理。图像增强是一种以主观感受为导向的技术，它没有一个固定的评价标准，图像增强的算法有一定的针对性。本文主要是对灰度图像的增强进行研究，主要运用了灰度拉伸、直方图均衡化两大类方法对图像进行增强处理,并用MATLAB软件对图像进行编程仿真。在此基础上对这两类方法进行比较，通过实验结果分析各自的特点并指明了其最佳适用场景，以希望我们能从中总结出一套图像增强算法的应用指导规则，并且用起来能行之有效。关键词：图像增强；灰度图像；灰度拉伸；直方图均衡化毕业设计（论文）外文摘要Implementation of Digital Image Enhancement MethodAbstract:Digital image enhancement is a very important part of in the process of digital image processing. Using image enhancement technology can increase the image sharpness, improve the human image of the visual effect, in order to facilitate the observation of the human eye; moreover, the image enhancement technology can make the image more conducive to the computer processing. Image enhancement is a kind of technology which is based on the subjective feeling, it has no fixed evaluation standard, and the algorithm of image enhancement has certain pertinence. This paper mainly studies the enhancement of gray image, mainly using the gray stretch, histogram equalization of the two major categories of image enhancement processing, and use MATLAB software for image programming simulation. On the basis of the two kinds of methods were compared through the experiment results analysis respective characteristics and points out the the best application scenarios, with the hope that we can summarize a set of image enhancement algorithm application guidelines from, and use can be effective.Keywords: Image enhancement; Gray scale transformation; Image Enhancement in the Spatial Domain; Image Enhancement in the Frequency Domain目录1绪论11.1 课题研究的意义与目的11.2 国内外研究现状11.3 论文的主要内容21.4 论文结构安排32 数字图像增强知识概述42.1 数字图像的相关概念42.2 图像增强流程图42.3 图像增强常用方法53 图像增强方法与原理73.1 图像类型转换73.2 灰度拉伸83.3 直方图变换144 图像增强算法性能比较174.1 算法评价标准定义174.2 实验数据集174.3 实验分析18结论301.本文算法的特点302.未来工作的展望30致谢31参考文献321绪论绪论部分主要安排介