Star extraction algorithm from star image based on region growth method

KE Wei; WANG Hong-li; YUAN Yu; CUI Xiang-xiang; LU Jing-hui

doi:10.13873/J.1000-9787(2015)12-0057-02

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Star extraction algorithm from star image based on region growth method

更新时间：2025-09-11

- Star extraction algorithm from star image based on region growth method
- Vol. 34, Issue 12, Pages: 57-58+65(2015)
- 作者机构：
  
  1. 第二炮兵工程大学
  2. 第二炮兵驻航天十院代表室
- 作者简介：
- 基金信息：
- DOI：10.13873/J.1000-9787(2015)12-0057-02
  CLC： TP391.41
- Published：2015
- 稿件说明：
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[1]柯卫,王宏力,袁宇,崔祥祥,陆敬辉.基于区域生长法的星图中星的提取方法[J].传感器与微系统,2015,34(12):57-58+65.

KE Wei, WANG Hong-li, YUAN Yu, et al. Star extraction algorithm from star image based on region growth method[J]. 2015, 34(12): 57-58+65.
[1]柯卫,王宏力,袁宇,崔祥祥,陆敬辉.基于区域生长法的星图中星的提取方法[J].传感器与微系统,2015,34(12):57-58+65. DOI： 10.13873/J.1000-9787(2015)12-0057-02.

KE Wei, WANG Hong-li, YUAN Yu, et al. Star extraction algorithm from star image based on region growth method[J]. 2015, 34(12): 57-58+65. DOI： 10.13873/J.1000-9787(2015)12-0057-02.

摘要

针对扫描法和矢量法抗噪能力不强、提取精度不高的问题

将区域生长法引入到星提取中

提出了基于区域生长法的星图中星的提取方法。该方法根据星体目标具有较强相关性的特点

制定相似性准则

对星体目标进行生长判断、提取。仿真结果表明:提出的星提取方法具有较强的抗噪能力和较高的提取精度。

Abstract

To solve the problem of scanning method and vector method that antinoise ability is not strong

extraction precision is not high

an improved approach for star extraction from star image is proposed

by introducing region growth algorithm. The proposed method establishes rules of similarity to judge and extract star targets

according to characteristics of strong correlation that star targets have. The simulation results show that the proposed method has strong antinoise ability and high extraction precision.

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references

一种用于白天星敏感器的星点质心提取方法 [J]. 胡晓东,胡强,雷兴,魏青,刘元正,王继良. 中国惯性技术学报 . 2014(04)

红外小目标的模板提取及检测技术研究 [J]. 王霄,辛云宏. 激光与红外 . 2013(07)

基于高斯分布的星像点精确模拟及质心计算 [J]. 王海涌,费峥红,王新龙. 光学精密工程 . 2009(07)

星敏感器中星图图像的星体细分定位方法研究 [J]. 魏新国,张广军,江洁. 北京航空航天大学学报 . 2003(09)

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