期刊论文

Pointer instrument recognition algorithms used in orbital patrol robot for electric power room

中文

Weixingji yu Yingyong

1674-7720

2019

38

4

50-55

10.19358/j.issn.2096-5133.2019.04.011

本校为第一机构

针对目前电力机房巡检机器人仪表识别精度不高的问题,提出了一种新的仪表检测识别方法。该方法分为两个部分,第一部分为仪表检测过程:提出了一种基于相似性度量的目标检测方法。首先,采用Faster RCNN网络生成一系列候选集,然后由高置信度的目标区域建立特征模板,再根据特征相似性对低置信度的目标区域进行判别,最后将筛选结果和特征模板作为检测结果,从而实现对仪表类型的识别与定位。第二部分为指针式仪表读数识别过程:采用自适应Canny算法进行边缘检测,然后采用八领域轮廓跟踪算法串联边缘点获取轮廓,并通过分析轮廓形态,提取指针和刻度线段。最后通过改进的刻度修复算法解决光照下刻度缺省问...

Aiming at the problem that the instrument recognition accuracy of the patrol robots in electric power room is not high,a new method of instrument detection and recognition is proposed.Th method is divided into two parts.The first part is the process of instrumentation detection. A target detection method based on based on similarity is proposed. Fristly Faster RCNN is used to build a series of candidate proposals.Then the anchors create feature templates by target areas with high confidence,and make a further selection in the low-confidence proposals according to the feature similarity.Finally...