[1]王立春,李强懿,阮航.一种基于图像匹配的公路破损标线检测方法[J].计算机技术与发展,2018,28(09):25-29.[doi:10.3969/j.issn.1673-629X.2018.09.006]
　WANG Li-chun,LI Qiang-yi,RUAN Hang.A Damaged Road Markings Detection Method Based on Image Matching[J].,2018,28(09):25-29.[doi:10.3969/j.issn.1673-629X.2018.09.006]
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一种基于图像匹配的公路破损标线检测方法()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
28
期数:
2018年09期
页码:
25-29
栏目:
智能、算法、系统工程
出版日期:
2018-09-10

文章信息/Info

Title:
A Damaged Road Markings Detection Method Based on Image Matching
文章编号:
1673-629X(2018)09-0025-05
作者:
王立春;  李强懿;  阮航
南京航空航天大学 计算机科学与技术学院,江苏 南京,211100
Author(s):
WANG Li-chun; LI Qiang-yi; RUAN Hang
School of Computer Science and Technology,Nanjing University of Aeronautics and Astronautics, Nanjing 211100,China
关键词:
航拍图像;  图像匹配;  破损标线检测;  特征融合;  无人机
Keywords:
aerial images; image matching; broken road marking detection; feature fusion; UAV
分类号:
TP391
DOI:
10.3969/j.issn.1673-629X.2018.09.006
文献标志码:
A
摘要:
为进一步提高公路破损标线的检测效率,解决传统人工查看破损标线带来的高错误率、高成本问题,提出一种基于无人机航拍图像匹配的公路破损标线检测方法.对无人机采集的待检测公路图像,该算法首先利用SIFT提取关键点,然后利用KNN以及最优节点优先搜索算法进行特征匹配.为提高图像匹配准确度,提出一种分区域特征匹配融合算法.该算法将图像划分为多个区域,并分别进行特征检测与匹配,利用图像不同区域的匹配结果计算图像变换矩阵,用以提高图像的匹配准确度.最后,利用模板匹配方式,将待检测图像与已标定的模板图像进行对比来检测破损标线.实验结果表明,该算法检测准确率高,适用性好.
Abstract:
In order to improve the detection efficiency of damaged road marking and solve the high error rate and high cost caused by tra- ditional manual finding way,we present a damaged road markings detection method based on UAV aerial images and image matching. For road images collected by UAV,this algorithm firstly extracts key points of the image by SIFT,and then use KNN algorithm and opti- mal node search algorithm to match the features. In order to improve the accuracy of image matching, we propose a sub-regional feature matching fusion algorithm which divides each image into multiple regions for feature detection and matching,and computes transforma- tion matrix by the matching results of different image regions to improve the matching accuracy of image. Finally,by template matching method,we compare the test road image with calibrated tem

相似文献/References:

[1]王立春,刘宁钟,李强懿.基于无人机航拍图像的公路标线检测算法[J].计算机技术与发展,2018,28(09):138.[doi:10.3969/ j. issn.1673-629X.2018.09.028]
　WANG Li-chun,LIU Ning-zhong,LI Qiang-yi.A Road Markings Detection Algorithm Based on Aerial Image of UAV[J].,2018,28(09):138.[doi:10.3969/ j. issn.1673-629X.2018.09.028]

更新日期/Last Update: 2018-09-10