【摘 要】
：
本文针对Hough变换方法在星空背景下弱小目标运动轨迹检测中所存在的短线段被淹没、峰值模糊化和线段无端点信息问题,对Hough变换算法中参数空间量化方式进行了改进,引入非均匀量化思想,提出了一种基于分块的非均匀Hough变换的轨迹检测方法。实验结果表明该方法既继承了传统Hough变换鲁棒的优点,同时又较好地克服了传统Hough变换的不足,从而有效地解决了星空背景图像中弱小运动目标轨迹检测问题。
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本文针对Hough变换方法在星空背景下弱小目标运动轨迹检测中所存在的短线段被淹没、峰值模糊化和线段无端点信息问题,对Hough变换算法中参数空间量化方式进行了改进,引入非均匀量化思想,提出了一种基于分块的非均匀Hough变换的轨迹检测方法。实验结果表明该方法既继承了传统Hough变换鲁棒的优点,同时又较好地克服了传统Hough变换的不足,从而有效地解决了星空背景图像中弱小运动目标轨迹检测问题。
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