摘要随着科技的发展与进步，车辆的智能化渐渐走入到我们的生活中来，而车辆的智能行车导航是其中的一项重要技术，而其关键就在于道路图像消失点的检测。本文主要讨论在道路图像中的消失点提取算法和适用范围。我们先将图像转化为灰度图像，我们利用高斯滤波去平滑噪声，再利用canny算子检测出图像的边缘，其优点是尽可能多的检测到图像边缘，检测到的边缘也更靠近实际边缘，保证了假边缘的产生。为canny算子设置一个合适的阈值后就可以得到多条直线，然后将图像分为内部和外部两部分，并利用一维霍夫变换将外部分割为不同角度，锁定直线相交最多的区域为外部区域消失点角度，再细化区域计算出消失点半径得到外部消失点，而内部消失点的算法则是在直角坐标系下进行的，以定长的横坐标划分出许多空间，判断落在各个空间的交点的个数，寻找其峰值，之后判断是否为真消失点。最后利用三个消失点的位置和焦距的限制关系计算出第三消失点的位置。75478

毕业论文关键词 图像   消失点 Canny算子

毕 业 设 计 说 明 书 外 文 摘 要

Title Methods for Extracting Vanishing Point in the Road Image

Abstract With the development and progress of science and technology, the intelligent vehicles are becoming to our life, and vehicle intelligent traffic navigation is one of the most important technology, and the key is detecting vanishing point in the road image。 In this paper, we mainly discuss the algorithm and the application range of the vanishing point extraction in the road image。 We first convert the origin image to gray image, we use Gaussian filter to smooth noise, and then use Canny operator to detect the image edge, its advantage is as much as you can detect the image edge, the detected edge is more close to the actual edge, to ensure the false edge。 We can get a set of straight lines by setting an appropriate threshold for Canny operator, then the image is pided into internal and external two parts, and the external is segmented for different angles using 1D Hough transform, lock lines intersect region at most for the external region vanishing point perspective, the more refined area to calculate the radius of the vanishing point for external vanishing point, while the internal vanishing point algorithm is performed in rectangular coordinate system, fix horizontal pided into a lot of space, judge the number of each space intersection, find the peak, then determine whether is the true vanishing point。 Finally, the position of third vanishing points is calculated by using the position of the three vanishing points and the focal length。

Keywords Image Vanishing Point Canny operator 

目    次

1 引言 1

1。1 二维平面图像的消失点 1

1。2 研究意义 2

1。3 研究现状 2

1。4 研究对象和目标 3

2 相关技术 4

2。1 开发工具 4

2。2 开发环境