[1]纪勇,刘丹丹,罗勇,等.基于霍夫投票的变电站设备三维点云智能识别算法研究[J].郑州大学学报(工学版),2019,40(03):1.
 JI Young,LIU Dandan,LUO Yong,et al.Recognition of Three-dimensional Substation Equipment Based on Hough Transform[J].Journal of Zhengzhou University (Engineering Science),2019,40(03):1.
点击复制

基于霍夫投票的变电站设备三维点云智能识别算法研究()
分享到:

《郑州大学学报(工学版)》[ISSN:1671-6833/CN:41-1339/T]

卷:
40
期数:
2019年03期
页码:
1
栏目:
出版日期:
2019-04-30

文章信息/Info

Title:
Recognition of Three-dimensional Substation Equipment Based on Hough Transform
作者:
纪勇刘丹丹罗勇王朋帅
Author(s):
JI YoungLIU DandanLUO YongWANG Pengshuai
文献标志码:
A
摘要:
本文采取霍夫投票法对激光扫描器获取的变电站设备三维点云数据进行匹配与识别。首先利用空间八叉树对点云进行精简和去噪,得到精简有效的点云数据。然后得到数字表面模型深度图像,并通过霍夫投票得到物体质心的票数。再与模型库的距离直方图相比求相似度,根据相似度的阈值得到初识别的结果。最后在初识别的候选设备中通过霍夫投票进行识别。实际点云数据测试表明,该方法可有效避免所有元器件特征点的冗长搜索过程,并能在点云较大缺失情况下将不同设备进行有效分类,达到预期效果。
Abstract:
Based on Hough voting method, the recognizing of substation equipment was achived by using 3Dcloud data obtained by laser scanner. Firstly,the equipment point cloud data was preprocessed to obtain appropriate experimental data, including point cloud simplifying and denoising by octree. Secondly, thenumber of votes of the mass center of the point cloud was got by Hough voting after obtaining DSM. Thirdlysimilarity degrees could be got by comparing the DSM with any model DSM in model set, and initial identification results could be obtained by comparing the above similarity degrees with the threshold. Lastly, the finaldentification result was got by Hough voting based on initial identification result. The actual test showed thatthis method could effectively avoid the lengthy searching process for all feature points, and could be effectivein recognizing of substation equipment in the situation of a larger points lacking. It turned out that this method was effective.


更新日期/Last Update: 2019-04-16