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一种基于自适应阈值的SUSAN角点提取方法 被引量:33

A SUSAN Corner Detector Based on Adaptive Threshold
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摘要 角点是数字图像中重要的几何特征,角点的准确提取对于图像处理和图像测量具有重要意义。文章对SUSAN(Smallest Univalue Segment Assimilating Nucleus)角点提取算法中阈值的确定提出了改进,在图像中每个像素的SUSAN模板内单独计算阈值t,使其在各种不同的对比度下仍能正确提取出角点。实验结果证明了该方法的有效性。 Comer is an important geometrical feature of digital image. The exact comer detection is vital to image processing and measurement. An improved way of determining the threshold of SUSAN operator was proposed. Threshold t was calculated in every single SUSAN template, which make it possible to pick up the fight comers in all kinds of gray contrast. The experiment result based on this method was proved to be feasible.
作者 刘博 仲思东
出处 《红外技术》 CSCD 北大核心 2006年第6期331-333,共3页 Infrared Technology
关键词 SUSAN算法 角点提取 自适应阈值 迭代分割 SUSAN operator comer detection self adaptive iterative segment
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参考文献5

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