基于Matlab的复杂环境车牌识别系统：夜间雾霾天气下的高效识别与处理方案,基于matlab的雾霾天气+夜间车牌识别系统车牌识别基于计算机视觉，数字图像处理常见实战项目：雾霾天气及夜间车牌识别+
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基于Matlab的复杂环境车牌识别系统：夜间雾霾天气下的高效识别与处理方案,基于matlab的雾霾天气+夜间车牌识别系统【车牌识别】基于计算机视觉，数字图像处理常见实战项目：雾霾天气及夜间车牌识别+语音播报+GUI显示+车牌信息导出。含GUI界面。预处理过程：去雾增强算法，亮度增强算法。车牌处理过程：车牌粗定位，灰度化，倾斜矫正，二值化，形态学处理，反色处理、精准定位，分割识别，语音播报，车牌信息结果导出。文件包含：完整程序文件，GUI界面源文件，白天、雾霾天气、夜间汽车图像数据集及字符模版库文件，语音播报的语音文件，车牌信息文本文件。代码结构清晰，含有注释，运算速度快，可扩展。视频，可出报告，PPT等（第005期）,基于Matlab的;雾霾天气夜间车牌识别系统;计算机视觉;数字图像处理;GUI界面;去雾增强算法;亮度增强算法;车牌处理流程;程序文件;注释。,基于Matlab的雾霾夜间车牌识别系统设计与实现 <link href="/image.php?url=https://csdnimg.cn/release/download_crawler_static/css/base.min.css" rel="stylesheet"/><link href="/image.php?url=https://csdnimg.cn/release/download_crawler_static/css/fancy.min.css" rel="stylesheet"/><link href="/image.php?url=https://csdnimg.cn/release/download_crawler_static/90341599/2/raw.css" rel="stylesheet"/><div id="sidebar" style="display: none"><div id="outline"></div></div><div class="pf w0 h0" data-page-no="1" id="pf1"><div class="pc pc1 w0 h0"><img alt="" class="bi x0 y0 w1 h1" src="/image.php?url=https://csdnimg.cn/release/download_crawler_static/90341599/bg1.jpg"/><div class="t m0 x1 h2 y1 ff1 fs0 fc0 sc0 ls0 ws0">基于<span class="_ _0"> </span><span class="ff2">MATLAB<span class="_ _1"> </span></span>的雾霾天气与夜间车牌识别系统</div><div class="t m0 x1 h2 y2 ff1 fs0 fc0 sc0 ls0 ws0">一<span class="ff3">、</span>引言</div><div class="t m0 x1 h2 y3 ff1 fs0 fc0 sc0 ls0 ws0">随着智能交通系统的快速发展<span class="ff4">，</span>车牌识别技术已成为交通管理<span class="ff3">、</span>安全监控等领域的重要应用<span class="ff3">。</span>本文将</div><div class="t m0 x1 h2 y4 ff1 fs0 fc0 sc0 ls0 ws0">介绍一个基于<span class="_ _0"> </span><span class="ff2">MATLAB<span class="_ _1"> </span></span>的雾霾天气及夜间车牌识别系统<span class="ff4">，</span>该系统结合计算机视觉和数字图像处理技术</div><div class="t m0 x1 h2 y5 ff4 fs0 fc0 sc0 ls0 ws0">，<span class="ff1">实现快速<span class="ff3">、</span>准确的车牌识别<span class="ff3">。</span></span></div><div class="t m0 x1 h2 y6 ff1 fs0 fc0 sc0 ls0 ws0">二<span class="ff3">、</span>系统概述</div><div class="t m0 x1 h2 y7 ff1 fs0 fc0 sc0 ls0 ws0">本系统主要包括预处理过程<span class="ff3">、</span>车牌处理过程以及<span class="_ _0"> </span><span class="ff2">GUI<span class="_ _1"> </span></span>界面设计<span class="ff3">。</span>其中<span class="ff4">，</span>预处理过程包括去雾增强算法</div><div class="t m0 x1 h2 y8 ff1 fs0 fc0 sc0 ls0 ws0">和亮度增强算法<span class="ff4">，</span>用于提高雾霾天气和夜间车牌图像的清晰度<span class="ff3">。</span>车牌处理过程则包括车牌粗定位<span class="ff3">、</span>灰</div><div class="t m0 x1 h2 y9 ff1 fs0 fc0 sc0 ls0 ws0">度化<span class="ff3">、</span>倾斜矫正<span class="ff3">、</span>二值化<span class="ff3">、</span>形态学处理<span class="ff3">、</span>反色处理<span class="ff3">、</span>精准定位<span class="ff3">、</span>分割识别<span class="ff3">、</span>语音播报以及车牌信息结</div><div class="t m0 x1 h2 ya ff1 fs0 fc0 sc0 ls0 ws0">果导出<span class="ff3">。</span></div><div class="t m0 x1 h2 yb ff1 fs0 fc0 sc0 ls0 ws0">三<span class="ff3">、</span>预处理过程</div><div class="t m0 x1 h2 yc ff2 fs0 fc0 sc0 ls0 ws0">1.<span class="_ _2"> </span><span class="ff1">去雾增强算法<span class="ff4">：</span>针对雾霾天气下的图像<span class="ff4">，</span>采用去雾算法提高图像的对比度和清晰度<span class="ff3">。</span></span></div><div class="t m0 x1 h2 yd ff2 fs0 fc0 sc0 ls0 ws0">2.<span class="_ _2"> </span><span class="ff1">亮度增强算法<span class="ff4">：</span>针对夜间车牌图像<span class="ff4">，</span>采用亮度增强算法提高图像的亮度<span class="ff4">，</span>使得车牌信息更加清晰</span></div><div class="t m0 x2 h2 ye ff1 fs0 fc0 sc0 ls0 ws0">可见<span class="ff3">。</span></div><div class="t m0 x1 h2 yf ff1 fs0 fc0 sc0 ls0 ws0">四<span class="ff3">、</span>车牌处理过程</div><div class="t m0 x1 h2 y10 ff2 fs0 fc0 sc0 ls0 ws0">1.<span class="_ _2"> </span><span class="ff1">车牌粗定位<span class="ff4">：</span>通过图像处理技术<span class="ff4">，</span>快速定位到车牌区域<span class="ff3">。</span></span></div><div class="t m0 x1 h2 y11 ff2 fs0 fc0 sc0 ls0 ws0">2.<span class="_ _2"> </span><span class="ff1">灰度化<span class="ff4">：</span>将彩色图像转换为灰度图像<span class="ff4">，</span>便于后续处理<span class="ff3">。</span></span></div><div class="t m0 x1 h2 y12 ff2 fs0 fc0 sc0 ls0 ws0">3.<span class="_ _2"> </span><span class="ff1">倾斜矫正<span class="ff4">：</span>对车牌图像进行倾斜矫正<span class="ff4">，</span>使得车牌水平<span class="ff3">。</span></span></div><div class="t m0 x1 h2 y13 ff2 fs0 fc0 sc0 ls0 ws0">4.<span class="_ _2"> </span><span class="ff1">二值化<span class="ff4">：</span>将灰度图像转换为二值图像<span class="ff4">，</span>便于进行形态学处理<span class="ff3">。</span></span></div><div class="t m0 x1 h2 y14 ff2 fs0 fc0 sc0 ls0 ws0">5.<span class="_ _2"> </span><span class="ff1">形态学处理<span class="ff3">、</span>反色处理<span class="ff4">：</span>通过形态学处理和反色处理<span class="ff4">，</span>进一步突出车牌信息<span class="ff3">。</span></span></div><div class="t m0 x1 h2 y15 ff2 fs0 fc0 sc0 ls0 ws0">6.<span class="_ _2"> </span><span class="ff1">精准定位<span class="ff3">、</span>分割识别<span class="ff4">：</span>对车牌进行精准定位和分割<span class="ff4">，</span>识别出车牌上的字符<span class="ff3">。</span></span></div><div class="t m0 x1 h2 y16 ff2 fs0 fc0 sc0 ls0 ws0">7.<span class="_ _2"> </span><span class="ff1">语音播报<span class="ff3">、</span>车牌信息结果导出<span class="ff4">：</span>将识别出的车牌信息通过语音播报方式输出<span class="ff4">，</span>并将信息导出为文</span></div><div class="t m0 x2 h2 y17 ff1 fs0 fc0 sc0 ls0 ws0">本文件<span class="ff3">。</span></div><div class="t m0 x1 h2 y18 ff1 fs0 fc0 sc0 ls0 ws0">五<span class="ff3">、<span class="ff2">GUI<span class="_ _1"> </span></span></span>界面设计</div><div class="t m0 x1 h2 y19 ff1 fs0 fc0 sc0 ls0 ws0">本系统采用<span class="_ _0"> </span><span class="ff2">MATLAB<span class="_ _1"> </span></span>的<span class="_ _0"> </span><span class="ff2">GUI<span class="_ _1"> </span></span>设计工具<span class="ff4">，</span>设计了一个简洁<span class="ff3">、</span>易用的界面<span class="ff3">。</span>用户可以通过该界面上传车牌</div><div class="t m0 x1 h2 y1a ff1 fs0 fc0 sc0 ls0 ws0">图像<span class="ff4">，</span>查看处理结果和车牌信息<span class="ff3">。</span></div><div class="t m0 x1 h2 y1b ff1 fs0 fc0 sc0 ls0 ws0">六<span class="ff3">、</span>文件包含及数据集</div></div><div class="pi" data-data='{"ctm":[1.568627,0.000000,0.000000,1.568627,0.000000,0.000000]}'></div></div>