搜索资源列表
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VC＋＋开发机器视觉算法源程序（全部集成在一个pdf文档里）
利用Visual C++实现AVI文件的图像截取
Visual C++中实现对图像数据的读取显示
Visual C++实现视频图像处理技术
VC编程中如何操作数据库中的图像字段
Visual C++实现数字图像增强处理
Visual C++6.0开发灰度位图处理
VC++开发腐蚀运算源程序
VC++开发膨胀运算源程序
VC＋＋开发细化源程序
VC＋＋开发Hough变换的源程序
VC++
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用Hough变换检测车道直线，用MATLAB自带的Hough(),houghlines(),houghpeaks()实现-Lane with a straight line Hough transform detection, using MATLAB' s own Hough (), houghlines (), houghpeaks () to achieve
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将经过二值化的车道线图利用hough变换提取车道线-After binarization the lane line graph using hough transform to extract lane
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a lane dtection method using hough-transform
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使用OpenCV进行车道线检测，Canny算子加霍夫变换，效果请看http://v.youku.com/v_show/id_XMjkzMzk2OTMy.html-Lane detection using opencv, Canny and Hough Transform. see the link http://v.youku.com/v_show/id_XMjkzMzk2OTMy.html
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该程序包中有基于Hough变换的车道线检测，还有卡尔曼跟踪和别的小程序，都是可运行的，读者可自行学习-The package, the lane detection based on Hough transform, Kalman tracking and other small programs are running, readers can learn on their own
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基于C++的路面车道线的检测，利用hough变换原理，检测弯曲车道线-Based C++ road lane detection using hough transform theory, curved lane detection
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车道线检测与车辆检测，通过hough变换实现-Lane detection and vehicle detection, hough transform by
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对车道线进行检测，涉及大津阈值，hough变换等，并预测行驶线。-To detect the lane line, involving the Otsu threshold, Hough transform, and the prediction of the running line.
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用于检测车道线，本程序是基于单帧图像的车道线检测识别，利用了二值、边缘检测、霍夫变换-Used to detect the lane line, this procedure is the lane line detection based on single frame image recognition, using the two values, edge detection and hough transform
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基于机器视觉的车道标识先检测，能够从图片中检测出车道线，主要方法：Hough变换-First detection of machine vision based lane marking, the main method can detect the lane line, the picture: Hough transform
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ostu+sobel+hough变换实现车道线的检测-ostu+sobel+hough transform to detect lane lines
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利用祸福变换对图像中的直线进行提取检测，效果一般，但基本功能实现-Use fortune to transform the image of a straight line extraction testing, the general effect, but the basic functions to achieve
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车辆车道线检测，使用CANY提取轮廓，hough变换获得直线。-Vehicle lane detection, contour extraction using CANY, hough transform to obtain a straight line.
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能实现直线型车道线的有效检测，利用改进的hough变换和区域生长方法，提高检测的准确性。-Can be achieved effectively detect lane straight line, with improved hough transform and region growing methods to improve detection accuracy.
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车道线检测的matlab实现，能够准确实现车道线，通过霍夫变换。-Lane line detection matlab implementation, it is possible to achieve accurate lane by Hough transform.
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基于视频的车道线检测,首先对视频进行一系列预处理，然后进行边缘检测，霍夫变换直线检测，最后对检测出来的直线进行非车道线排除。-Video-based lane detection, the first of a series of video preprocessing, edge detection and Hough transform line detection, finally detected non-linear lane excluded.
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利用Canny算法和Hough变换进行车道线检测-Use Canny algorithm and Hough transform to detect lane
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基于hough变换的水印检测，方法比较有用，还可以用到车道线检测方面(The method of watermark detection based on Hough transform is more useful and can also be used in lane detection.)
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