Moment characters: Fourier descriptor applied in optoelectronic drop image recognition

Cunwei Zou; Qing Song; Yuan Luo; Jie Li

doi:10.1117/12.870517

10 November 2010 Moment characters: Fourier descriptor applied in optoelectronic drop image recognition

Cunwei Zou, Qing Song, Yuan Luo, Jie Li

Proceedings Volume 7850, Optoelectronic Imaging and Multimedia Technology; 78502B (2010) https://doi.org/10.1117/12.870517
Event: Photonics Asia 2010, 2010, Beijing, China

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.

Citation Download Citation

Cunwei Zou, Qing Song, Yuan Luo, and Jie Li "Moment characters: Fourier descriptor applied in optoelectronic drop image recognition", Proc. SPIE 7850, Optoelectronic Imaging and Multimedia Technology, 78502B (10 November 2010); https://doi.org/10.1117/12.870517

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