SIA OpenIR  > 机器人学研究室
Automatic segmentation and classification of the reflected laser dots during analytic measurement of mirror surfaces
Wang ZZ(王振洲)
Department机器人学研究室
Source PublicationOptics and Lasers in Engineering
ISSN0143-8166
2016
Volume83Pages:10-22
Indexed BySCI ; EI
EI Accession number20161102110566
WOS IDWOS:000375365600002
Contribution Rank1
KeywordImage Processing Image Enhancement Segmentation Classification
AbstractIn the past research, we have proposed a one-shot-projection method for analytic measurement of the shapes of the mirror surfaces, which utilizes the information of two captured laser dots patterns to reconstruct the mirror surfaces. Yet, the automatic image processing algorithms to extract the laser dots patterns have not been addressed. In this paper, a series of automatic image processing algorithms are proposed to segment and classify the projected laser dots robustly and efficiently during measuring the shapes of mirror surfaces and each algorithm is indispensible for the finally achieved accuracy. Firstly, the captured image is modeled and filtered by the designed frequency domain filter. Then, it is segmented by a robust threshold selection method. A novel iterative erosion method is proposed to separate connected dots. Novel methods to remove noise blob and retrieve missing dots are also proposed. An effective registration method is used to help to select the used SNF laser and the dot generation pattern by analyzing if the dot pattern obeys the principle of central projection well. Experimental results verified the effectiveness of all the proposed algorithms.
Language英语
Citation statistics
Cited Times:8[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.sia.cn/handle/173321/17734
Collection机器人学研究室
Corresponding AuthorWang ZZ(王振洲)
AffiliationState Key Labs for Robotics, Shenang Institute of Automation, Chinese Academy of Sciences, No. 114 Nanta Street, Shenhe District, Shenyang, Liaoning Province, China
Recommended Citation
GB/T 7714
Wang ZZ. Automatic segmentation and classification of the reflected laser dots during analytic measurement of mirror surfaces[J]. Optics and Lasers in Engineering,2016,83:10-22.
APA Wang ZZ.(2016).Automatic segmentation and classification of the reflected laser dots during analytic measurement of mirror surfaces.Optics and Lasers in Engineering,83,10-22.
MLA Wang ZZ."Automatic segmentation and classification of the reflected laser dots during analytic measurement of mirror surfaces".Optics and Lasers in Engineering 83(2016):10-22.
Files in This Item: Download All
File Name/Size DocType Version Access License
Automatic segmentati(15882KB)期刊论文作者接受稿开放获取ODC PDDLView Download
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Wang ZZ(王振洲)]'s Articles
Baidu academic
Similar articles in Baidu academic
[Wang ZZ(王振洲)]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Wang ZZ(王振洲)]'s Articles
Terms of Use
No data!
Social Bookmark/Share
File name: Automatic segmentation and classification of the reflected laser dots during analytic measurement of mirror surfaces.pdf
Format: Adobe PDF
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.