交通标志

汽车显然是撞上了一个交通标志牌后打滑失控的。

The car had apparently hit a traffic sign before skidding out of control

AUTOCAD在交通标志自动喷涂系统中的应用与研究

The application and study of Auto CAD in traffic sign automatic spraying system

由于黄色在一天中的任何时段都容易辨别，因此学校区域、一些交通标志和校车都会印成黄色。

Since yellow can be seen well at all times of the day , school zones , some traffic signs , and school buses continue to be printed yellow .

本文使用200幅交通标志作为训练样本对BP神经网络进行训练。

200 traffic signs are used as training samples to train the BP neural network .

基于颜色信息与SVM网络的交通标志检测

The Traffic Sign Detection Based on Color Information and SVM Network

基于ObjectARX的交通标志图库管理系统

A Traffic Sign Drawing Library Management System Based on Object ARX

PVC交通标志塑板的研究和开发

Research and Development of PVC Plastic Traffic Signs

基于决策树型SVM的交通标志图像识别

Recognition of Traffic Sign Images Based on Decision-tree - based Support Vector Machine

PVC交通标志板的研制

Preparation of PVC Plastic Traffic Signs

用改进的Hough变换检测交通标志图像的直线特征

Line detection in traffic sign image based on improved Hough transform

当提取的待识别交通标志图像质量较好时，相对于BP神经网络准确率更高。

When the image quality of the to-be-identified traffic signs is better , the accuracy is higher compared with the BP neural network .

对于户外广告牌和交通标志，经常采用F型单肢钢管柱。

F-type steel-pipe column is often used for outdoor advertisement board and traffic sign . The wind load is the control load .

基于RGB视觉模型的交通标志分割

Traffic Sign Segment Based on RGB Vision Model

还有另外一个3m的故事：一些员工开发出一种保持交通标志清洁的产品。

Here is another 3M story : some employees developed a product that kept road signs clean .

通过利用交通标志的颜色特征，采用基于RGB空间的彩色分割方法进行图像分割。

The color segmentation method based on RGB space is used in traffic sign images by means of the features of color .

LCS与公路桥梁和立交桥上的发光彩色交通标志同属于恒久不变的交通信号标志。

Lane Control Signals are those ever-present traffic signs with illuminated colored symbols on highway bridges and overpasses .

该算法先对RGB格式的交通标志图像采用色彩恒常性算法进行彩色增强，然后将其转换到HSV彩色空间进行颜色分割。

The RGB images were enhanced with color constancy algorithm , then were converted into HSV color space and segmented by the constant thresholds .

为了改善交通标志在RGB模型下的颜色分割效果，提出了一种基于三分量色差法的动态阈值分割改进方法。

To improving color segmentation effect of traffic sign under the RGB model , a method for image segmentation based on chromatic aberration was presented .

线性SVM在类别较多、特征维数较高的分类问题上具有速度快、分类性能高等优势，因此本文采用一对多线性SVM分类器，对交通标志进行快速、精确的分类。

As linear SVM has the advantage of fast and exactly recognizing the objects with large category and high feature dimension , this paper uses one-against-rest linear SVM classifier to classify traffic signs .

在道路交通标志检测过程中，根据交通标志的颜色特性，在Lab彩色空间中应用MeanShift图像分割算法，从而将道路交通标志从自然场景中分离出来。

In the process road traffic sign , according to the color characteristics of traffic signs , the application of Mean shift image in Lab color space segmentation algorithm , which will be road traffic signs from natural scenes .

然后进一步采用LLE算法对交通标志中的指示标志进行降维识别，验证了其在交通标志识别应用中的可行性。

Then the directional signs are disposed to verify that LLE method is feasible in the traffic sign recognition applications .

同时，questvisual公司发布了一款名为wordlens的软件，用户将手机对准任何英语或西班牙语文字比如菜单或交通标志就能进行翻译。

Quest visual , meanwhile , has launched an application called word lens which allows users to point their phone at any English or Spanish text on a menu or a road sign , for example to translate it .

针对单纯利用RGB或HIS空间不能很好地检测出交通标志这一问题，提出一种多通道融合的交通标志检测方法。

Aiming at the disadvantages of detecting traffic sign with RGB or HIS color space values respectively , a novel traffic sign detection method with multi-channel integration is proposed .

变换RGB空间图像，突出交通标志的特征颜色（红色，黄色，蓝色），选择合适的阈值分割图像。

RGB value of the image is transformed to highlight the characteristic colors ( red , yellow , blue ) of the traffic signs . The appropriate thresholds are selected for the image segmentation .

在形状识别问题中以交通标志图像作为实验对象，利用Hough变换进行特征提取，在识别阶段利用支持向量机方法进行分类，并与神经网络等传统学习方法对比；

Taking the traffic sign as examples and adopting Hough transform in the stage of feature extraction , we introduce SVM to the problem of shape recognition and compare the experimental results with traditional learning methods .

可喜的是国内一些研究机构、大专院校也已经开始关注，并且着手研究道路交通标志识别系统（RSR），并且已经有一些初步成果。

Fortunately , some research institute and university in our county have start pay attention to , and begin to study the road traffic sign recognition , and give some initial results .

在基于颜色的图像分割的研究中，通过对交通标志色彩特征的研究，提出了不受光照影响的基于HSV模型的交通标志分割方法，H（色度）表示不同的色调；

In the study of image segmentation based on color information , through study of shape and color characteristic of road sign , we propose a segmentation method based on HSV color model , this method , the variety of lighting have few effect to color segmentation .

由于本文检测道路交通标志为禁令标志，其颜色（红色）与形状（圆形）特征明显，在HSI颜色模型下基于上述两种特性来进行图像分割，以此提取感兴趣目标。

Since this test road signs for the prohibition signs , its color ( red ) and shape ( round ) obvious characteristics , so image segmentation is based on the above two features in order to extract the object of interest .

针对这些特性本文在研究原有的交通标志分割与检测技术的基础上提出一种基于颜色不变量和塔式梯度方向直方图（PHOG）特征的交通标志检测方法。

In this paper we propose a new traffic sign detection method based on color invariants and pyramid histogram of oriented gradients ( PHOG ) features .

为了降低光照强度对道路交通标志图像带来的影响，本文应用HSI彩色空间图像增强。

In order to reduce impacts on the image of road traffic sign from illumination intensity , this paper applied the HSI color space of image enhancement , by the processing of luminance and saturation component so that the image for subsequent processing .