Description: 车牌识别程序源码，很有用的！我也是从网上下载下来的，不过我自已做了些修改！-plates source identification procedures, very useful! I also downloaded from the Internet, but I do own some changes! Platform: |
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Author:王林 |
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Description: 车牌定位系统是进行车牌自动识别的重要一部分能正确的获得整个图象的车牌部分 具体步骤 1.24位真彩色->256色灰度图。 2.预处理:中值滤波。 3.二值化:用一个初始阈值T对图像A进行二值化得到二值化图像B。 初始阈值T的确定方法是:选择阈值T=Gmax-(Gmax-Gmin)/3,Gmax和Gmin分别是最高、最低灰度值。 该阈值对不同牌照有一定的适应性,能够保证背景基本被置为0,以突出牌照区域。 4.削弱背景干扰。对图像B做简单的相邻像素灰度值相减,得到新的图像G,即Gi,j= Pi,j-Pi,j-1 i=0,1,…,439 j=0,1,…,639Gi,0=Pi,0,左边缘直接赋值,不会影响整体效果。 5.用自定义模板进行中值滤波 区域灰度基本被赋值为0。考虑到文字是由许多短竖线组成,而背景噪声有一大部分是孤立噪声,用模板(1,1,1,1,1)T对G进行中值滤波,能够得到除掉了大部分干扰的图像C。 6.牌照搜索:利用水平投影法检测车牌水平位置,利用垂直投影法检测车牌垂直位置。 7.区域裁剪,截取车牌图像。-plates is positioning system for automatic vehicle identification can be an important part of the right of access to the entire image plates some of the specific steps 1.24 true color-gt; 256-color grayscale. 2. Pretreatment : median filter. 3. Binary : an initial threshold value T A pair of images for two to be two binary images B value. T initial threshold value to determine the method is : Select threshold T = Tc- (Tc-Gmin)/3, respectively Gmin saturated and is the highest and the lowest gray value. The threshold values for different licenses are certain adaptability, to ensure that basic background was home to 0, to highlight regional licenses. 4. Weakened background interference. The images do simple B adjacent pixel value is reduced, the new images to be G, Gi, j = Pi, j- Pi, j-1 Platform: |
Size: 1497088 |
Author:潘文 |
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Description: 车牌定位 使用时打开此例题目录下pic中的图片，然后依次单击按钮“转”、“1”、“2”、“3”、“4”和“5”，就可以实现精确的车牌定位。 具体步骤 1.24位真彩色->256色灰度图。 2.预处理:中值滤波。 3.二值化:用一个初始阈值T对图像A进行二值化得到二值化图像B。 初始阈值T的确定方法是:选择阈值T=Gmax-(Gmax-Gmin)/3,Gmax和Gmin分别是最高、最低灰度值。 该阈值对不同牌照有一定的适应性,能够保证背景基本被置为0,以突出牌照区域。 4.削弱背景干扰。对图像B做简单的相邻像素灰度值相减,得到新的图像G,即Gi,j= Pi,j-Pi,j-1 i=0,1,…,439 j=0,1,…,639Gi,0=Pi,0,左边缘直接赋值,不会影响整体效果。 5.用自定义模板进行中值滤波 区域灰度基本被赋值为0。考虑到文字是由许多短竖线组成,而背景噪声有一大部分是孤立噪声,用模板(1,1,1,1,1)T对G进行中值滤波,能够得到除掉了大部分干扰的图像C。 6.牌照搜索:利用水平投影法检测车牌水平位置,利用垂直投影法检测车牌垂直位置。 7.区域裁剪,截取车牌图像。-positioning plates used to break pic examples directory of images, and then click the button "turn", "1", "2", "3" and "4" and "5", can achieve precise positioning of the plates. Concrete steps 1.24 true color-gt; 256-color grayscale. 2. Pretreatment : median filter. 3. Binary : an initial threshold value T A pair of images for two to be two binary images B value. T initial threshold value to determine the method is : Select threshold T = Tc- (Tc-Gmin)/3, respectively Gmin saturated and is the highest and the lowest gray value. The threshold values for different licenses are certain adaptability, to ensure that basic background was home to 0, to highlight regional licenses. 4. Weakened background interference. The images do sim Platform: |
Size: 734208 |
Author:何问宇 |
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Description: 使用时打开此例题目录下pic中的图片，然后依次单击按钮“转”、“1”、“2”、“3”、“4”和“5”，就可以实现精确的车牌定位。-use this example to open directory pic of pictures, then click the button "turn", "1", "2", "3" and "4" and "5", can achieve precise positioning of the plates. Platform: |
Size: 1720320 |
Author:何斌 |
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Description: 车牌定位识别程序，算法为先对车牌图进行灰度化，接着二值化，找点，然后定位矩形车牌，最后标出车牌位置。这个程序为图象处理的有一个经典的实例-plates positioning identification procedures, the algorithm first pair of plates map Gray, then two values, find the point and positioning rectangular plates, plates marked the final location. The procedure for image processing is one of the classic examples! ! Platform: |
Size: 339968 |
Author:123 |
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Description: 一个不错的车牌定位程序，采用灰毒图象处理方法，结合边沿定位系统做。-a good locator plates using drugs gray image processing method and edge positioning system to do. Platform: |
Size: 748544 |
Author:xsb |
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Description: 使用时打开此例题目录下pic中的图片，然后依次单击按钮“转”、“1”、“2”、“3”、“4”和“5”，就可以实现精确的车牌定位。-use this example to open directory pic of pictures, then click the button "turn", "1", "2", "3" and "4" and "5", can achieve precise positioning of the plates. Platform: |
Size: 748544 |
Author:孙月 |
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Description: 两种方法实现车牌定位：一种基于蓝色车牌的颜色分割，一种基于竖向纹理的识别。源文件有多个算法，有一部分未用到，但也在此提供，鼓励各位试着换个算法优化实现。内含README文件有详细说明。(Using 2 methods to realize license plate recognition: one is based on blue color segmentation, the other is based on vertical pattern recognition. More details see README.) Platform: |
Size: 4013056 |
Author:mf20070608
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Description: 实现对车牌图片的定位 经过去噪、二值化、边缘检测等操作(To achieve the location of license plate images through denoising, two value, edge detection and other operations.) Platform: |
Size: 16372736 |
Author:咯提咯夏 |
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