[1]孙进,丁煜,王宁,等.结合点云占比和平滑度的碗状碎块内表面识别算法[J].哈尔滨理工大学学报,2020,25(03):157-162.[doi:10.15938/j.jhust.2020.03.024]
 SUN Jin,DING Yu,et al. Identification Algorithm for Inner Surface of Bowlshaped BrokenPieces Based on Point Cloud Proportion and Smoothness[J].哈尔滨理工大学学报,2020,25(03):157-162.[doi:10.15938/j.jhust.2020.03.024]
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结合点云占比和平滑度的碗状碎块内表面识别算法()
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《哈尔滨理工大学学报》[ISSN:1007-2683/CN:23-1404/N]

卷:
25
期数:
2020年03期
页码:
157-162
栏目:
计算机与控制工程
出版日期:
2020-06-25

文章信息/Info

Title:
 Identification Algorithm for Inner Surface of Bowlshaped Broken
Pieces Based on Point Cloud Proportion and Smoothness
文章编号:
1007-2683(2020)03-0157-06
作者:
 孙进12丁煜12王宁1习俊通2朱兴龙1
1.扬州大学 机械工程学院,江苏 扬州 225100;
2.上海交通大学 机械系统与振动国家重点实验室,上海 200240)
Author(s):
SUN Jin1 2DING Yu12WANG Ning1XI Juntong2ZHU Xinglong1
(1.College of Mechanical Engineering, Yangzhou University, Yangzhou 225100, China; 
2.China State Key Laboratory of Mechanical System and Vibration, Shanghai Jiao Tong University, Shanghai 200240, China)
关键词:
 关键词:点云占比平滑度碗状碎块内表面识别
Keywords:
Keywords:point cloud proportion smoothness bowlshaped broken pieces inner surface identification
分类号:
TP3016
DOI:
10.15938/j.jhust.2020.03.024
文献标志码:
A
摘要:



 

摘要:基于内表面特性的碗状碎块重组算法可有效避免由断裂曲面引起的过分割问题,但其难点在于内表面的准确提取,为此提出一种结合点云占比和平滑度的碗状碎块内表面识别算法。首先基于区域生长算法将碗状碎块的表面分割成断裂曲面、底面、原始表面、内表面和外表面;然后根据其点云占比的显著差异从中识别出内表面和外表面,最后利用平滑度提取内表面。实验结果表明该算法能实现碗状碎块内表面的准确提取,并且具有更快的运算速度。

Abstract:
 Abstract:The bowlshaped broken pieces reassembly algorithm based on the inner surface characteristics can effectively avoid the over segmentation problem caused by the fracture surface, while the difficulty lies in the accurate extraction of inner surface Therefore, an identification algorithm for inner surface of bowlshaped broken pieces based on point cloud proportion and smoothness is proposed Firstly, the surface of bowlshaped broken pieces is divided into fracture surface, bottom surface, original surface, inner surface and outer surface based on the region growing algorithm And then, according to the significant difference of point cloud proportion, the inner surface and outer surface are identified from the segmented surface group Finally, the inner surface is extracted by the smoothness value The experimental results show that this algorithm can accurately extract the inner surface of bowlshaped broken pieces and has a higher calculation speed than other algorithm

参考文献/References:

 

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备注/Memo

备注/Memo:

收稿日期: 2020-01-10
基金项目: 国家自然科学基金面上项目(51475409);江苏省研究生科研与实践创新计划项目(KYCX19_2102);2018年度江苏政府留学奖学金(江苏—英国高水平大学20+20行动计划定制项目);上海交通大学机械系统与振动国家重点实验室开放课题(MSV201810)
作者简介:
丁煜(1995—),男,硕士研究生;
王宁(1992—),男,硕士研究生
通信作者:
孙进(1973—),男,博士,副教授,Email:sunjin1001@126.com.



 

更新日期/Last Update: 2020-10-14