Share Email Print
cover

Proceedings Paper • new

Three dimensional shape measurement of wear particle by iterative volume intersection
Author(s): Hongkun Wu; Ruowei Li; Shilong Liu; Md Arifur Rahman; Sanchi Liu; Ngaiming Kwok; Zhongxiao Peng
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper Abstract

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.

Paper Details

Date Published: 10 April 2018
PDF: 9 pages
Proc. SPIE 10615, Ninth International Conference on Graphic and Image Processing (ICGIP 2017), 106153Q (10 April 2018); doi: 10.1117/12.2304561
Show Author Affiliations
Hongkun Wu, Univ. of New South Wales (Australia)
Ruowei Li, Univ. of New South Wales (Australia)
Shilong Liu, Univ. of New South Wales (Australia)
Md Arifur Rahman, Univ. of New South Wales (Australia)
Sanchi Liu, Univ. of New South Wales (Australia)
Ngaiming Kwok, Univ. of New South Wales (Australia)
Zhongxiao Peng, Univ. of New South Wales (Australia)


Published in SPIE Proceedings Vol. 10615:
Ninth International Conference on Graphic and Image Processing (ICGIP 2017)
Hui Yu; Junyu Dong, Editor(s)

© SPIE. Terms of Use
Back to Top