目录

摘要

ABSTRACT

ABSTRACT ·······································································

1.绪论 ················································································II 1

1.1  课题的研究背景和意义 ··················································1

1.2  车牌识别系统的发展现状 ···············································2

1.3  本文章节的主要工作安排 ···············································4

2.车牌倾斜校正前的预处理 ·····················································5

2.1  我国车牌的特征 ···························································5

2.2  车牌采集图像灰度化 ·····················································6

2.3  边缘检测 ··································································10

3.倾斜校正实验对比与优化 ···················································17

3.1  倾斜校正算法 ····························································17

3.2  算法对比 ··································································23

3.3  基于Radon 算法的优化················································28

4.总结与展望 ·····································································32

4.1  总结 ········································································32

4.2  展望 ········································································32

参考文献 ··········································································33

致谢 ················································································34

 

 

摘要：智能交通系统是目前科技领域一个热门研究方向，车牌识别技术是其中的重要研究课题，且已在生活中普遍应用，如交通监管系统、无人停车场、高速收费站等场景。数字图像处理、模式识别、计算机视觉等技术都是车牌识别技术的基础。在车牌识别前，需要对车牌进行倾斜校正，这是车牌号码能被准确识别的关键一步。本文将比较两种应用在车牌倾斜校正阶段的常用算法——Hough 变换和 Radon 变换。在 Matlab R2014b 环境中模拟校正并输出结果和关键步骤，从运行时间、占用内存、成功率等方面进行对比研究。结合自己对图像处理和倾斜校正的理解，在一定程度上，对 Radon 变换倾斜校正图像的代码进行优化，例如使用更细致的图像预处理和更简洁的语句调用，并将优化数据整理成表格，直观展示优化成果。

 

 

关键词：倾斜校正；边缘检测；Hough 变换；Radon 变换