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Proceedings Paper

An adhered-particle analysis system based on concave points
Author(s): Wencheng Wang; Fengnian Guan; Lin Feng
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Paper Abstract

Particles adhered together will influence the image analysis in computer vision system. In this paper, a method based on concave point is designed. First, corner detection algorithm is adopted to obtain a rough estimation of potential concave points after image segmentation. Then, it computes the area ratio of the candidates to accurately localize the final separation points. Finally, it uses the separation points of each particle and the neighboring pixels to estimate the original particles before adhesion and provides estimated profile images. The experimental results have shown that this approach can provide good results that match the human visual cognitive mechanism.

Paper Details

Date Published: 13 April 2018
PDF: 7 pages
Proc. SPIE 10696, Tenth International Conference on Machine Vision (ICMV 2017), 106960S (13 April 2018); doi: 10.1117/12.2309453
Show Author Affiliations
Wencheng Wang, Weifang Univ. (China)
Fengnian Guan, Weifang Univ. (China)
Lin Feng, Hefei Univ. of Technology (China)

Published in SPIE Proceedings Vol. 10696:
Tenth International Conference on Machine Vision (ICMV 2017)
Antanas Verikas; Petia Radeva; Dmitry Nikolaev; Jianhong Zhou, Editor(s)

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