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面向巡线无人机高压线实时检测与识别算法
Alternative TitleResearch on Real-time Detection and Recognition Algorithm of High-voltage Transmission Line for Inspection with Unmanned Aerial Vehicle
赵利坡; 范慧杰; 朱琳琳; 唐延东
Department机器人学研究室
Source Publication小型微型计算机系统
ISSN1000-1220
2012
Volume33Issue:4Pages:882-886
Indexed ByCSCD
CSCD IDCSCD:4500242
Contribution Rank1
Funding Organization国家自然科学基金项目(60835004)资助
Keyword基于方向约束线状目标强化 多尺度分析 基于角度约束的radon变换 识别因子
Abstract以巡线无人机巡航中识别高压输电线为背景,提出一种准确、实时的高压输电线检测与识别算法.首先,针对高压输电线成像是线状结构和低灰度值的特征而且其空间分布近似水平,提出一种基于方向约束的多尺度线状目标强化算法.此方法把近似水平方向的高压输电线目标强化出来的同时,能够很好地抑制竖直方向线状干扰物体和非线状背景及噪声.然后,对强化后的结果进行基于角度约束的Radon变换.由于高压输电线邻近区域的灰度分布近似,在Radon变换中引入用于识别高压输电线的识别因子,以获得高压输电线的识别结果,并抑制近似水平的干扰物体.实际的飞行试验结果表明,该算法对高压输电线识别具有很好的抗噪性、抗干扰性和实时性.
Other AbstractIn this paper,we present an accurate,real-time high-voltage transmission line detection and recognition algorithm for the inspection of high-voltage transmission line with Unmanned Aerial Vehicle(UAV).Firstly according to linear structure feature of high-voltage transmission line in the horizontal direction and its low intensity in an image,we design an algorithm of automatic high-voltage transmission line detection based on multi-scale linear object enhancement with direction constraint.The algorithm can enhance high-voltage line in the similar horizontal direction in a frame image while restraining linear objects in the vertical direction and other nonlinear objects and noise.Then,Radon transform based on the angle constraint is applied to recognize the high-voltage line within a frame image with image segmentation.Because the intensity distribution near high voltage transmission lines are similar,we can introduce the recognition factor for the high voltage transmission lines into the Radon Transform in order to get the recognition results and repress the disturbances from horizontal objects.The actual flight tests have been completed.The results of our experiment show that our algorithm has good performance in anti-noise,robustness against distortion and real-time. 更多
Language中文
Citation statistics
Cited Times:1[CSCD]   [CSCD Record]
Document Type期刊论文
Identifierhttp://ir.sia.cn/handle/173321/10006
Collection机器人学研究室
Affiliation1.机器人学国家重点实验室中国科学院沈阳自动化研究所
2.中国科学院研究生院
Recommended Citation
GB/T 7714
赵利坡,范慧杰,朱琳琳,等. 面向巡线无人机高压线实时检测与识别算法[J]. 小型微型计算机系统,2012,33(4):882-886.
APA 赵利坡,范慧杰,朱琳琳,&唐延东.(2012).面向巡线无人机高压线实时检测与识别算法.小型微型计算机系统,33(4),882-886.
MLA 赵利坡,et al."面向巡线无人机高压线实时检测与识别算法".小型微型计算机系统 33.4(2012):882-886.
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