摘要
裂缝的检测是公路养护的重要工作之一,在分析沥青路面图像特点的基础上,研究设计了基于DSP的沥青路面裂缝图像处理系统,结合DSP技术给出了解决沥青路面裂缝图像处理系统中DSP图像采集部分问题的方法,完成了对裂缝的面积、周长、类型、长度、平均宽度、裂缝的百分比等主要参数的提取。通过采用该图像采集系统进行的大量野外实验,对在车辆高速行驶状态下采集到的连续图像的效果进行比较分析以及处理,最后结果表明了该图像采集与处理系统设计的可行性和实用性。
The crack detection for the conservation and management of the road is very important information,based on analysis of image asphalt pavement characteristics,a asphalt pavement surface cracks image processing system based on DSP and machine vision is studied and designed.Combination of DSP technologies,how to solve DSP image processing problems of the asphalt pavement surface cracks image acquisition system is given,including cracks in the area,circumference,type,length,average width,the percentage of such cracks.By adopting the control system to finish outdoor experiments,comparing,analyzing and processing for the results of the acquisition images in high speed of vehicles,the design system is proved to be of the feasibility and practicality.
出处
《计算机工程与设计》
CSCD
北大核心
2010年第7期1481-1483,1557,共4页
Computer Engineering and Design
基金
教育部重点实验室基金项目(KLP200501)
