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一种基于线特征的快速角点检测算法

Algorithm for fast corner detection based on line feature
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摘要 为了提高角点检测的准确性和快速性,通过分析穿过角点的直线所具有的特性,提出了一种基于非终结线数目的快速角点检测算法。该算法以当前像素为核心作用一个圆形模板,计算穿过核心的非终结线的数目换算值,当该值位于给定的阈值范围内时,则当前像素为角点。针对伪响应,提出了一种基于非终结线均匀程度的非极大值抑制方法。通过实验验证了新算法的可行性,以及在准确性和快速性上所具有的优点。 In order to meet the demand of high accuracy with low computational complexity in corner detection,by analyzing the properties of the lines that across the corner,this paper proposed a new algorithm based on the number of the end-line. The algorithm employsed a circle mask centered on the pixel in question which would be called the"nucleus"of the mask,then calculatesd the equivalent value of the number of end-lines which acrossed the nucleus,the pixel would be identified as the corner while the equivalent value between maximum threshold and minimal threshold. To suppress the false response,this paper put forward a non-maximum suppression method. Experiments demonstrate validity of the new method,and show its advantages both in accuracy and rapidity.
出处 《计算机应用研究》 CSCD 北大核心 2010年第10期3995-3997,共3页 Application Research of Computers
基金 黑龙江省教育厅科学技术研究项目(11521331)
关键词 角点检测 同值收缩核 非极大值抑制 特征检测 图像处理 corner detection USAN( univalue segment assimilating nucleus) non-maximum suppression feature detection image processing
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参考文献12

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