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復(fù)雜場景中航天器靶標(biāo)的快速識別

發(fā)布時間:2018-04-16 06:24

  本文選題:航天器靶標(biāo) + 目標(biāo)識別 ; 參考:《光學(xué)精密工程》2016年04期


【摘要】:基于靶標(biāo)的幾何特征提出了一種快速識別算法來解決目前航天器靶標(biāo)識別存在的問題。設(shè)計了一款帶有線段與圓環(huán)圖案的合作靶標(biāo)。利用高斯濾波去除圖像中的噪聲,運用Canny檢測算子得到邊緣圖像,并跟蹤得到單像素邊緣序列。然后,通過判斷非共線四點是否共圓排除大部分不可能構(gòu)成圓的邊緣,利用同一圓周的兩段子弧對應(yīng)相同圓心和半徑的幾何特征實現(xiàn)圓檢測。最后根據(jù)靶標(biāo)圓與線段的幾何關(guān)系排除干擾,實現(xiàn)靶標(biāo)的準(zhǔn)確識別。實驗結(jié)果表明,該靶標(biāo)識別算法對噪聲、光照、旋轉(zhuǎn)等不敏感,能夠在多種復(fù)雜場景中快速、準(zhǔn)確地識別靶標(biāo),處理時間小于125ms,滿足實時位姿測量8幀的需要。目前,該算法已經(jīng)成功應(yīng)用于工程樣機。
[Abstract]:Based on the geometric features of target, a fast recognition algorithm is proposed to solve the problem of spacecraft target recognition.A cooperative target with line segment and ring pattern is designed.Gao Si filter is used to remove the noise in the image, and the Canny detector is used to get the edge image, and the single pixel edge sequence is obtained by tracking.Then, by judging whether the non-collinear four points exclude most of the edges of the circle that can't be formed, the circle detection is realized by using the geometric features of two sections of arc corresponding to the same center and radius of the same circle.Finally, according to the geometric relationship between the target circle and the line segment, the interference is eliminated and the target recognition is realized.The experimental results show that the target recognition algorithm is insensitive to noise, illumination and rotation, and can recognize the target quickly and accurately in many complex scenes. The processing time is less than 125 Ms, which meets the need of 8 frames of real time pose measurement.At present, the algorithm has been successfully applied to engineering prototype.
【作者單位】: 中國科學(xué)院長春光學(xué)精密機械與物理研究所;中國科學(xué)院大學(xué);白城師范學(xué)院;哈爾濱工業(yè)大學(xué);
【基金】:國家973重點基礎(chǔ)研究發(fā)展計劃資助項目(No.2013CB733103)
【分類號】:V52;TP391.41
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本文編號:1757652

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