Three dimensional shape measurement of wear particle by iterative volume intersection

Hongkun Wu, Ruowei Li, Shilong Liu, Md Arifur Rahman, Sanchi Liu, Ngaiming Kwok, Zhongxiao Peng

Research output: Chapter in Book / Conference PaperConference Paperpeer-review

2 Citations (Scopus)

Abstract

![CDATA[The morphology of wear particle is a fundamental indicator where wear oriented machine health can be assessed. Previous research proved that thorough measurement of the particle shape allows more reliable explanation of the occurred wear mechanism. However, most of current particle measurement techniques are focused on extraction of the two-dimensional (2-D) morphology, while other critical particle features including volume and thickness are not available. As a result, a three-dimensional (3-D) shape measurement method is developed to enable a more comprehensive particle feature description. The developed method is implemented in three steps: (1) particle profiles in multiple views are captured via a camera mounted above a micro fluid channel; (2) a preliminary reconstruction is accomplished by the shape-from-silhouette approach with the collected particle contours; (3) an iterative re-projection process follows to obtain the final 3-D measurement by minimizing the difference between the original and the re-projected contours. Results from real data are presented, demonstrating the feasibility of the proposed method.]]
Original languageEnglish
Title of host publicationProceedings of SPIE: Ninth International Conference on Graphic and Image Processing (ICGIP 2017), 14-16 October 2017, Qingdao, China
PublisherSPIE
Number of pages9
ISBN (Print)9781510617414
DOIs
Publication statusPublished - 2018
EventInternational Conference on Graphic and Image Processing -
Duration: 14 Oct 2017 → …

Publication series

Name
ISSN (Print)0277-786X

Conference

ConferenceInternational Conference on Graphic and Image Processing
Period14/10/17 → …

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