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A fast circle detector of non-cooperative target for Tethered Space Robot

机译:系留空间机器人的非合作目标快速圆检测器

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Concentrating on recognition of circular modules fixed on non-cooperative target for Tethered Space Robot (TSR), this paper presents a fast circle detector. The pixels' gradient magnitude and direction are computed in the first step and region-growing method is implemented to generate arc support regions (ASRs). And the corresponding square fitting areas (SFAs) are obtained. Afterward, the Euclidean distances between every coordinates on each ASR and each coordinate of SFA are computed and recorded in an accumulator. Then, a histogram is used to count the frequency of the distances that participates in the accumulator and the parameters of each circle are acquired. Finally, a verification strategy of circular integrity is used to test the detection results. Based on contrast experiments, results indicate that the proposed algorithm is able to detect partial circles, multiple centers or circles in partial occlusion. This method has features of low consumption, wide range of application and strong anti-interference performance.
机译:着重于对固定空间机器人(TSR)固定在非合作目标上的圆形模块的识别,本文提出了一种快速圆形探测器。在第一步中计算像素的梯度大小和方向,并实施区域增长方法以生成电弧支撑区域(ASR)。并获得相应的正方形拟合区域(SFA)。然后,计算每个ASR上每个坐标与SFA上每个坐标之间的欧几里得距离并将其记录在累加器中。然后,使用直方图对参与累加器的距离的频率进行计数,并获取每个圆的参数。最后,使用圆形完整性验证策略来测试检测结果。基于对比实验,结果表明该算法能够检测出部分遮挡的部分圆,多个中心或多个圆。该方法具有功耗低,适用范围广,抗干扰性能强的特点。

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