[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识别算法[J].郑州大学学报(工学版),2019,40(03):1.[doi:10.13705/j.issn.1671-6833.2018.06.015] 　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.[doi:10.13705/j.issn.1671-6833.2018.06.015] 点击复制 基于霍夫投票的变电站设备三维点云识别算法() 分享到： var jiathis_config = { data_track_clickback: true };

40卷

2019年03期

1

2019-04-30

文章信息/Info

Title:
Recognition of Three-dimensional Substation Equipment Based on Hough Transform

1. 西安交通大学电气工程学院2. 河南平高电气股份有限公司3. 郑州大学电气工程学院
Author(s):
1. School of Electrical Engineering, Xi’an Jiaotong University; 2. Henan Pinggao Electric Co., Ltd. 3. School of Electrical Engineering, Zhengzhou University

Keywords:
DOI:
10.13705/j.issn.1671-6833.2018.06.015

A

Abstract:
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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.