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Proceedings Paper

Moment characters: Fourier descriptor applied in optoelectronic drop image recognition
Author(s): Cunwei Zou; Qing Song; Yuan Luo; Jie Li
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Paper Abstract

The droplet shape in the process of droplet dropping can embodies the fundamental intrinsic properties of droplet, which can be used to identify the characteristics of liquid types. A new method is proposed by using Moment characters- Fourier descriptor to analysis the information of droplet dropping image. Data of the droplet profile changing is collected through the CCD camera. Moment characters sequence is calculated to represent the shape. The sequence is given Fourier counterchanges and normalized. The feature descriptor carries the liquid image features and unique information of liquid.

Paper Details

Date Published: 10 November 2010
PDF: 6 pages
Proc. SPIE 7850, Optoelectronic Imaging and Multimedia Technology, 78502B (10 November 2010); doi: 10.1117/12.870517
Show Author Affiliations
Cunwei Zou, Beijing Univ. of Posts and Telecommunications (China)
Qing Song, Beijing Univ. of Posts and Telecommunications (China)
Yuan Luo, Beijing Univ. of Posts and Telecommunications (China)
Jie Li, Beijing Univ. of Posts and Telecommunications (China)

Published in SPIE Proceedings Vol. 7850:
Optoelectronic Imaging and Multimedia Technology
Toru Yoshizawa; Ping Wei; Jesse Zheng; Tsutomu Shimura, Editor(s)

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