文档介绍：洛阳理工学院
毕业设计(论文)
题目:图像处理在智能车路径识别中的应用
姓名
系(部)
专业
指导教师
2012年 04 月 06 日
图像处理在智能车路径识别中的应用
摘要
机器视觉技术在智能车中得到了广泛的应用,这项技术在智能车的路径识别、障碍物判断中起着重要作用。基于此,依据飞思卡尔小车的硬件架构,研究机器视觉技术应用于飞思卡尔小车。飞思卡尔智能车处理器采用了MC9S12XS128芯片,路况采集使用的是数字摄像头OV7620。
由于飞思卡尔智能车是是一款竞速小车,因此图像采集和处理要协调准确性和快速性,需要找到其中的最优控制。因此本设计主要需要完成的任务是:怎样用摄像头准确的采集每一场的图像,然后怎样进行二值化处理;以及怎样对图像进行去噪处理;最后也就是本设计的难点也是设计的核心,怎样对小车的轨迹进行补线。
本设计的先进性,在众多的图像处理技术中找到了适合飞思卡尔智能车的图像处理方法。充分发挥了摄像头的有点。经过小车的实际测试以及相关的MATLAB仿真,最终相关设计内容都基本满足要求。小车的稳定性和快速性得到显著提高。
关键词:OV7620,视频采集,图像处理,二值化
The Application of Image Processing in the Recognition of Intelligent Vehicle Path
ABSTRACT
Camera Machine vision technology in the smart car in a wide range of applications, the technology identified in the path of the smart car, and plays an important role in the obstacles to judge. Based on this, based on the architecture of the Freescale car, machine vision technology used in the Freescale car. Freescale smart car the processor MC9S12XS128 chip traffic collected using a digital camera OV7620.
Freescale's Smart car is a racing car, so the image acquisition and processing to coordinate the accuracy and fast, you need to find the optimal control. This design need plete the task: how to use the camera to accurately capture every image, and then how to binarization processing; and how to image denoising; last is the difficulty of this design is the design of the core, how to fill line on the trajectory of the car.
The advanced nature of the design found in many image processing techniques of image processing methods for Freescale Smart Car. Give full play to the camera a bit. The actual testing of the car and MATLAB simulation, the final design content can basically meet the requirements. The car's stability and fast to get improved significantly.
KEY WORDS: OV7620,Video Capture,Picture Processing, Binarization
目录
前言 1
第1章飞思卡尔赛车及机器视觉的概述 2
智能车的研究背景 2
智能车的发展历史 2
应用前景 2
智能车设计要求介绍 3
机器视觉介绍 4
小结 4
第2章主要思路及技术方案概要 5
总体设计主要方法步