星点提取是实现高精度和高准确性的星图识别和姿态确定的关键，本文对星点目标粗提取算法进行研究，提出了一种基于剪切波变换和形态学Top-hat变换的星点粗提取算法。该算法采用剪切波变换对含有噪声的星图进行滤波，通过对不同方向剪切波系数采用不同的阈值处理并重构得到去噪星图，有效抑制噪声；利用形态学Top-hat变换对重构星图进行背景噪声抑制，采用自适应阈值方法处理背景抑制后星图中的残差噪声，有效地完成星图粗提取。实验结果表明，该提取算法可以很好的滤除星图噪声，为亚像元星点提取做好良好基础。%Star crude extraction is the key to realize star pattern recognition and attitude determination with high precision and high ac-curacy. This paper makes a research on star crude extraction and gives an algorithm which is based on shear wave transform and Top-hat transform. This algorithm uses shear wave transform to filter the noise in the star image, obtains the de-noising star image through different threshold processing and reconstruction on the shear wave coefficients with different directions and effectively inhibits noises;uses morphological Top-hat transform to do the background noise suppression on the reconstructive star image, adopts the adaptive threshold method to deal with the residual noise in star image after background suppression and effectively completes the star crude ex-traction. The experimental results show that the algorithm can remove the noise well, providing a good foundation for sub-pixel star ex-traction.
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