Research on key technology in the real-time and high-precision spot centroid detection

Siyu Zhou; Shanshan Wang; Xiaohe Luo; Yajun Shao; Qiudong Zhu

doi:10.1117/12.2258213

Research on key technology in the real-time and high-precision spot centroid detection

Siyu Zhou, Shanshan Wang, Xiaohe Luo, Yajun Shao, Qiudong Zhu^*

^*Corresponding author for this work

School of Optics and Photonics

Beijing Institute of Technology

Research output: Contribution to journal › Conference article › peer-review

2 Citations (Scopus)

Abstract

This paper analyzes the influence on the centroid detection accuracy by several parameters, including the signal-to-noise ratio, frame rate and spot diameter. It provides the selection basis for the camera used in the centroid detection system. The diameter of the spot has little influence on the centroid detection accuracy within a wide range. Meanwhile, with the same signal-to-noise ratio, when the frame rate of the camera becomes higher, the centroid detection accuracy can be improved through the method of superposing more frames. The measurement software uses the specific multi-frame superposition denoising algorithm based on high speed CMOS camera which solves the conflict of improvement of accuracy and time-consuming of the algorithm. The repeatability of the centroid can reach up to 0.0023 pixel with the measuring speed of 62.5fps, the same as the frame rate of the camera.

Original language	English
Article number	102564A
Journal	Proceedings of SPIE - The International Society for Optical Engineering
Volume	10256
DOIs	https://doi.org/10.1117/12.2258213
Publication status	Published - 2017
Event	2nd International Conference on Photonics and Optical Engineering - Xi'an, China Duration: 14 Oct 2016 → …

Keywords

Centroid detection accuracy
Frame rate
Real-time
Signal-to-noise
Spot diameter

Access to Document

10.1117/12.2258213

Cite this

@article{e64f7bdd249b42868a1e56de5d466937,

title = "Research on key technology in the real-time and high-precision spot centroid detection",

abstract = "This paper analyzes the influence on the centroid detection accuracy by several parameters, including the signal-to-noise ratio, frame rate and spot diameter. It provides the selection basis for the camera used in the centroid detection system. The diameter of the spot has little influence on the centroid detection accuracy within a wide range. Meanwhile, with the same signal-to-noise ratio, when the frame rate of the camera becomes higher, the centroid detection accuracy can be improved through the method of superposing more frames. The measurement software uses the specific multi-frame superposition denoising algorithm based on high speed CMOS camera which solves the conflict of improvement of accuracy and time-consuming of the algorithm. The repeatability of the centroid can reach up to 0.0023 pixel with the measuring speed of 62.5fps, the same as the frame rate of the camera.",

keywords = "Centroid detection accuracy, Frame rate, Real-time, Signal-to-noise, Spot diameter",

author = "Siyu Zhou and Shanshan Wang and Xiaohe Luo and Yajun Shao and Qiudong Zhu",

note = "Publisher Copyright: {\textcopyright} 2017 SPIE.; 2nd International Conference on Photonics and Optical Engineering ; Conference date: 14-10-2016",

year = "2017",

doi = "10.1117/12.2258213",

language = "English",

volume = "10256",

journal = "Proceedings of SPIE - The International Society for Optical Engineering",

issn = "0277-786X",

publisher = "SPIE",

}

TY - JOUR

T1 - Research on key technology in the real-time and high-precision spot centroid detection

AU - Zhou, Siyu

AU - Wang, Shanshan

AU - Luo, Xiaohe

AU - Shao, Yajun

AU - Zhu, Qiudong

PY - 2017

Y1 - 2017

N2 - This paper analyzes the influence on the centroid detection accuracy by several parameters, including the signal-to-noise ratio, frame rate and spot diameter. It provides the selection basis for the camera used in the centroid detection system. The diameter of the spot has little influence on the centroid detection accuracy within a wide range. Meanwhile, with the same signal-to-noise ratio, when the frame rate of the camera becomes higher, the centroid detection accuracy can be improved through the method of superposing more frames. The measurement software uses the specific multi-frame superposition denoising algorithm based on high speed CMOS camera which solves the conflict of improvement of accuracy and time-consuming of the algorithm. The repeatability of the centroid can reach up to 0.0023 pixel with the measuring speed of 62.5fps, the same as the frame rate of the camera.

AB - This paper analyzes the influence on the centroid detection accuracy by several parameters, including the signal-to-noise ratio, frame rate and spot diameter. It provides the selection basis for the camera used in the centroid detection system. The diameter of the spot has little influence on the centroid detection accuracy within a wide range. Meanwhile, with the same signal-to-noise ratio, when the frame rate of the camera becomes higher, the centroid detection accuracy can be improved through the method of superposing more frames. The measurement software uses the specific multi-frame superposition denoising algorithm based on high speed CMOS camera which solves the conflict of improvement of accuracy and time-consuming of the algorithm. The repeatability of the centroid can reach up to 0.0023 pixel with the measuring speed of 62.5fps, the same as the frame rate of the camera.

KW - Centroid detection accuracy

KW - Frame rate

KW - Real-time

KW - Signal-to-noise

KW - Spot diameter

UR - http://www.scopus.com/inward/record.url?scp=85018845086&partnerID=8YFLogxK

U2 - 10.1117/12.2258213

DO - 10.1117/12.2258213

M3 - Conference article

AN - SCOPUS:85018845086

SN - 0277-786X

VL - 10256

JO - Proceedings of SPIE - The International Society for Optical Engineering

JF - Proceedings of SPIE - The International Society for Optical Engineering

M1 - 102564A

T2 - 2nd International Conference on Photonics and Optical Engineering

Y2 - 14 October 2016

ER -

Research on key technology in the real-time and high-precision spot centroid detection

Abstract

Keywords

Access to Document

Other files and links

Fingerprint

Cite this