中国惯性技术学报
中國慣性技術學報
중국관성기술학보
JOURNAL OF CHINESE INERTIAL TECHNOLOGY
2014年
4期
481-485
,共5页
胡晓东%胡强%雷兴%魏青%刘元正%王继良
鬍曉東%鬍彊%雷興%魏青%劉元正%王繼良
호효동%호강%뢰흥%위청%류원정%왕계량
图像处理%质心提取%亚像素定位%帧累加%信噪比
圖像處理%質心提取%亞像素定位%幀纍加%信譟比
도상처리%질심제취%아상소정위%정루가%신조비
image processing%centroid extraction%sub-pixel location%multiframe incremental%signal-to-noise
从星空图像中提取星点质心是星敏感器工作的重要基础,针对白天星敏感器所获取的星空图像噪声情况复杂的特点,应用高斯点分布函数为数学模型,提出了一种能够获取高精度星点质心位置的基于帧累加的星点质心提取方法。首先通过多帧迭代优化目标星像灰度,消除随机噪声的影响,提高信噪比,再利用平方加权质心法计算星点质心的位置,从星空图像中提取星点质心。仿真实验结果表明:该方法具有较强的抗干扰能力和稳定性,且质心提取精度随迭代帧数的增加而提高,当迭代次数达到100次时平均定位精度可达0.1像素,适用于低信噪比条件下的质心定位计算。该算法简单易行,运算量小,能够实现对视频图像信息的实时处理,且有效地提高质心的定位精度,可以满足白天星敏感器的应用需求。
從星空圖像中提取星點質心是星敏感器工作的重要基礎,針對白天星敏感器所穫取的星空圖像譟聲情況複雜的特點,應用高斯點分佈函數為數學模型,提齣瞭一種能夠穫取高精度星點質心位置的基于幀纍加的星點質心提取方法。首先通過多幀迭代優化目標星像灰度,消除隨機譟聲的影響,提高信譟比,再利用平方加權質心法計算星點質心的位置,從星空圖像中提取星點質心。倣真實驗結果錶明:該方法具有較彊的抗榦擾能力和穩定性,且質心提取精度隨迭代幀數的增加而提高,噹迭代次數達到100次時平均定位精度可達0.1像素,適用于低信譟比條件下的質心定位計算。該算法簡單易行,運算量小,能夠實現對視頻圖像信息的實時處理,且有效地提高質心的定位精度,可以滿足白天星敏感器的應用需求。
종성공도상중제취성점질심시성민감기공작적중요기출,침대백천성민감기소획취적성공도상조성정황복잡적특점,응용고사점분포함수위수학모형,제출료일충능구획취고정도성점질심위치적기우정루가적성점질심제취방법。수선통과다정질대우화목표성상회도,소제수궤조성적영향,제고신조비,재이용평방가권질심법계산성점질심적위치,종성공도상중제취성점질심。방진실험결과표명:해방법구유교강적항간우능력화은정성,차질심제취정도수질대정수적증가이제고,당질대차수체도100차시평균정위정도가체0.1상소,괄용우저신조비조건하적질심정위계산。해산법간단역행,운산량소,능구실현대시빈도상신식적실시처리,차유효지제고질심적정위정도,가이만족백천성민감기적응용수구。
Star centroid extraction from object image in center of mass is the important basis of star sensor. For the star image obtained by daytime star sensors under complicated circumstances, a method of star centroid based on multiframe incremental is proposed by using the mathematical model of Gaussian point distribution function. By optimizing the multi-frame iterative image gray scale, the influence of random noise is eliminated and the signal-to-noise ratio is improved. Then, by utilizing weighted squared centroid algorithm, the star centroid is calculated to extract the star centroid from the star image. The simulation experimental results show that the method has excellent anti-interference ability and stability, and the centroid extraction precision is increased with the iteration frames. When the number of iterations reaches 100 times the extraction precision is increased with the increasing of iteration number and could approach 0.1 pixel, which is suitable for low signal-to-noise ratio. This algorithm is simple, less computations, and can achieve real-time processing of video image information. It can effectively improve the positioning precision, and satisfy the application requirements of daytime star sensors.