Abstract

High efficiency and precision of the pot center detection are the foundations of avionics instrument navigation and optics measurement basis for many applications. It has noticeable impact on overall system performance. Among them, laser spot detection is very important in the optical measurement technology. In order to improve the low accuracy of the spot center position, the algorithm is improved on the basis of the circle fitting. The pretreatment is used by circle fitting, and the improved adaptive denoising filter for TV repair technology can effectively improves the accuracy of the spot center position. At the same time, the pretreatment and de-noising can effectively reduce the influence of Gaussian white noise, which enhances the anti-jamming capability.

Highlights

  • The laser spot images still have various challenges

  • Reference [1] presented an algorithm of laser spot detection based on circle fitting with a high precision, which has a high degree of accuracy

  • We discover that the algorithm tends to lose some real information, which is not good for research of spot

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Summary

Introduction

The laser spot images still have various challenges. the center can be seen with naked eyes, it has not high accuracy. Faster positioning algorithm using software has higher speed and accuracy for finding the spot center position. High efficiency and precision of the pot center detection, which are the foundations of avionics instrument navigation and optics measurement basis for many applications, have a noticeable impact on the overall system performance. Reference [1] presented an algorithm of laser spot detection based on circle fitting with a high precision, which has a high degree of accuracy. Reference [2] compared circle fitting and traditional algorithm of laser spot position, and the algorithm of circle fitting has advantages of high precision and efficiency. The improved algorithm is based on the original circle fitting. Photonic Sensors various interferences, and an improved TV filtering algorithm can have better filtering for Gaussian white noise and pinpoint the spot center

Theoretical analysis
Improved algorithms and performance analysis
Conclusions
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